INTEGRATION OF A TERRESTRIAL LASER SCANNER WITH GPS/IMU ORIENTATION SENSORS

Size: px
Start display at page:

Download "INTEGRATION OF A TERRESTRIAL LASER SCANNER WITH GPS/IMU ORIENTATION SENSORS"

Transcription

1 INTEGRATION OF A TERRESTRIAL LASER SCANNER WITH GPS/IMU ORIENTATION SENSORS J.Taaya, R.Aaus, E.Bosch, A.Serra, W.Kornus, A.Baron Institut Cartogràfic de Cataunya (ICC), Parc de Montjuïc, E Barceona taaya@icc.es, raaus@icc.es, eosch@icc.es, aserra@icc.es,wkornus@icc.es, aaron@icc.es Ths 17 Cose-Range Integrated Mapping Systes/Laser Scanning KEY WORDS: Integration, Orientation, GPS/IMU, Terrestria, Laser scanning ABSTRACT: Direct orientation of aser systes has een widey used for airorne aser sensors ut not with the terrestria aser systes. The usua way to operate a terrestria aser is y scanning a scene whie the sensor reains static. In order to cover the whoe scene, different scans can e coined y atching severa coon points, finay the orientation of the scene is perfored y identifying and providing coordinates for a iniu of 3 points. This procedure is very tie consuing eading to a very ow productivity. In order to increase productivity the Institut Cartografic de Cataunya (ICC) has integrated a terrestria aser scanner in a oie vehice with the ai to operating the aser whie the vehice is oving. This paper descries the integration of a terrestria aser scanner with the GPS/IMU orientation sensors of a Land Based Moie Mapping Syste. The aser puses are synchronized to the GPS tie y using a odified PPS signa fro a GPS receiver. In order to transfer the reference frae fro the GPS/IMU sensors to the aser sensor a nuer of cairation scans and contro points are used and the offset and isaignent etween the aser and GPS/IMU sensors is deterined. The resuts of the cairation procedures, as we as accuracies and perforance otained y the integrated GPS/IMU/terrestria aser syste are presented in the paper. 1. INTRODUCTION During the ast years the use of terrestria aser scanners for 3D odeing has widey een expanded. These systes provide direct easureents of couds of points that are iuinated y the aser. A terrestria aser scanner generay coects the data y easuring a copete scene whie the sensor reains static. Thereafter, the scene has to e georeferenced y identifying at east 3 points on the aser scanner iage and giving the ground coordinates. In order to iprove the productivity the ICC decided to directy orient the aser scenes y integrating a terrestria aser scanner with a GPS/IMU (Inertia Measureent Unit) orientation syste in a oie vehice with the ai to operate the aser whie the vehice is oving. That integration aowed a direct orientation of the aser scene reducing draaticay the tie required to otain a geocoded scene ready to extract inforation. 2. GEOMÒBIL In the first stage, the Geoòi (see figure 1) integrated two CCD caeras in a van to capture stereoscopic pairs of digita iages and a the equipent required to georeference directy the coected iages. The van was deveoped as a oduar syste that shoud e easiy upgradeae with new sensors. Hence, the Geoòi is coposed of different susystes: an iage susyste, a synchronization susyste, an orientation susyste, a power suppy susyste, a data storage susyste and a ciatization susyste. The integration of airorne asers with GPS/IMU orientation systes has een widey used since id 90 s providing good resuts and eading to a wide expoit of the airorne idar technique (Lindenerger 1993). However, terrestria asers have not foowed the sae path and they are sedo directy oriented y a GPS/IMU syste. The integration of the terrestria aser with the GPS/IMU sensors was done in the frae of the Geoòi project (Taaya et a. 2004), the oie apping syste deveoped at ICC. Figure 1: Geoòi syste deveoped at ICC 19

2 The orientation susyste is ainy ased on the integration of a GPS receiver and an IMU sensor. However, due to the arge nuer of GPS outages that occur in a terrestria capaign, it aso incudes the integration of a DMI sensor (Distance Measureent Indicator), which is used to reduce IMU drifts during these outages. The orientation susyste is copeted with a GAMS syste (GPS Aziuth Measureent Syste), an approach fro Appanix ased on the heading deterination using two GPS antennas ounted on the top of the van, which aows a rapid heading correction after GPS outages. In order to correcty transfer the reference frae fro the orientation susyste to the CCD caeras, a rigid structure was designed (Figure 2). The reaction of the structure under different forces was odeed and the atest design showed deforations of ess than 1 in distance and ess than 70 arcseconds in ange. The structure acted as a patfor for integrating the sensors used for the orientation and any other sensor ounted on it. In particuar, the integration of the digita caeras and the GPS/IMU orientation susyste ead to very good resuts, photograetric points are deterined with accuracies etter than 5 c in across track directions and 13 c in aong track direction at an average distance of 18 (Aaús et a, 2004). the distance easured y the aser, φ the rotation ange of the irror and ϕ the aser position ange during the scanning (see figure 3). φ Figure 3: Terrestria aser spherica coordinate frae (courtesy of Rieg LMS GH) The precise orientation coputed y the orientation susyste (GPS/IMU) can e transferred to any sensor (in particuar to the terrestria aser) ounted on the patfor. Thus, the aser data can e directy oriented appying the sae principe used for airorne asers. Figure 4: Static terrestria aser scene coded with a coination of intensity and distance. The rotating irror scans the scene in vertica ines whie the aser rotates around a vertica axis covering the scene in the horizonta direction The transforation fro the aser spherica coordinate frae to a aser cartesian coordinate frae is given y foowing equation: x = r sinφ y = r sinφ sinϕ z = r cosφ Figure 2: Geoòi integration patfor (response to stress) 3. INTEGRATION OF A LASER SCANNING The aser seected for the integration was a Rieg Z-210 that is ae to coect up to points per second. For each point a distance easureent, an intensity vaue and RGB data is coected. The aser has a rotating irror that aows taking vertica profies whie a servootor rotates horizontay the whoe aser for scanning a static scene (see figures 3 and 4). For each aser point aso the ange readings of the irror and the scan encoders are otained. These anguar vaues, together with the distance easureent, are used to ocate the easured point in a oca aser reference frae. The raw data coected y a terrestria aser are usuay paraeterized in a spherica coordinates frae, denoting r Equation 1: Preiinary transforation fro the aser spherica coordinate frae to a aser cartesian coordinate frae By construction the aser axes are not perfecty aigned, the irror rotation axis (φ ange) and the aser scanning axis (ϕ ange) do not intersect, so this difference has to e corrected in order to transfer the initia aser spherica coordinates to a oca aser cartesian coordinates frae. In equation 2 the foruas used y the aser software (Rieg, 2001) to perfor the transforation are descried. Assuing that the origin of the aser cartesian frae ies on the axis defined y the rotating irror (φ ange), r o is an offset on the distance easureent and ϕ d is the isaignent of the scanner rotation axis: 20

3 x = r cosϕ e e o y = r sinϕ o X = r sinφ + xe + ye sinϕ Y = r sinφ sinϕ + xe sinϕ ye Z = r cosφ Equation 2: Fina transforation fro the aser spherica coordinate frae to a aser cartesian coordinate frae If the aser reains static whie coecting a scene it woud e easy to deterine the transforation to a apping reference frae y easuring soe contro points. Once a goa transation (X T,Y T,Z T ) and a rotation atrix deterined every aser point (X,Y,Z ) on the scene can e transfored y appying the sae function (see equation 3). X Y Z X = Y Z T T T transation d d + M X Y Z Equation 3: Transforation etween the aser cartesian coordinate frae to a apping cartesian coordinate frae (static case) This transforation can aso e deterined directy y the GPS/IMU susyste using the foruas descried in equation 4. According to the expanations in the previous paragraphs, the aser was rigidy ounted on the integration patfor (figure 5). Assuing that the GPS/IMU systes are capae to deterine the orientation of the integration patfor at any oent, the transfer of the reference frae fro the GPS/IMU to the aser can e done as ong as the aser data is synchronized with the GPS/IMU oservations and the spatia transforation etween the GPS/IMU frae and the aser frae is known, i.e. deterined in a cairation procedure. Laser M are interna cock can e reset y an externa TTL signa. By using this possiiity a odified PPS signa is pseudorandoy sent to the aser. After the survey, at the office, a software synchronizes the aser interna tie syste to a goa GPS tie syste y coparing the pseudorandoy resets of the aser interna cock to the previousy stored tie at which the TTL signas were generated. Knowing the GPS tie at the start of each ine, the GPS tie of every aser point is coputed y adding the aser repetition period to the tie of the previous aser point. The orientation susyste of the Geoòi aows a continuous deterination of the transforation etween the IMU reference frae to the apping reference frae. Once every aser point is tie aeed in GPS tie the transforation etween the aser reference frae to the apping reference frae (e.g. WGS84) can e done according to equation 4 in two steps: a) transforation fro the aser to the IMU reference frae and ) transforation fro the IMU to the apping reference frae. The first step coprises the offset deterination etween the aser and the IMU reference frae ( V in equation 4) and the isaignent atrix etween aser and the IMU reference frae ( M in equation 4). The offset and the isaignent atrix ( V and M ) reain constant as ong as oth systes (IMU and aser) are rigidy ounted on the integration patfor and the patfor does not have any distortion due to the stress. As expained in the next section these constant vaues are deterined in a cairation survey. In a second step the rotation atrix ( M in equation 4) and the transation vector (X GPS/IMU, Y GPS/IMU, Z GPS/IMU in equation 4) are deterined using the integration of the GPS/IMU oservations. Notice that the rotation and transation atrix appied in the second step are not constant and keep varying during the survey. Therefore, for each aser point a different transation and rotation atrix wi e derived fro the coputed trajectory. X Y Z X = Y Z GPS / IMU GPS / IMU GPS / IMU + M X M Y + V Z Equation 4: Transforation etween the aser cartesian coordinate frae to a apping cartesian coordinate frae (kineatic case) The use of integrated GPS/IMU data to directy orient aser data has the advantage that the transforation etween the oca aser reference frae and the apping reference frae is known at any oent (as far as the aser is synchronized), independenty if the aser is coecting data in a static ode or in kineatic ode. Therefore, the aser can e used as a pushroo sensor whie fixing the scan ange and sweeping the scene with profies whie the vehice is in oveent. Figure 5: Terrestria Laser integrated in the Geoòi The aser aes the eginning of each ine with a precise interna cock. The synchronization is perfored y reating the aser tie syste to the GPS tie syste. The aser 3.1 Cairation The offset and the isaignent atrix are deterined y appying equation 4 to a set of static aser scenes where 21

4 severa ground contro points have een oserved and y a fina adjustent. A nuer of previousy surveyed points were signaised with refecting ateria, which aows a good identification of the ground contro points in the aser intensity iage (see second iage on figure 6). Severa scenes were captured whie the van was stationary and the GPS/IMU sensors were coecting data. Afterwards, an adjustent was done for coputing the offset and the isaignent atrix. The transation and rotation atrix (X GPS/IMU, Y GPS/IMU, Z GPS/IMU ) and M were derived for the GPS/IMU trajectory and used as oservations in the adjustent. The easureents of the signaised points in the intensity iage were aso used as oservations. In order to iprove the deterination of the paraeters and to decoupe their correation four scenes taken with different aziuth anges were used in the adjustent. Figure 7 shows the distriution of the adjustent with the red eipses indicating the position and fora error of the IMU orientation, the ue eipses indicating the position and fora error of the aser orientation and the very sa ack eipses showing the position and fora error of the 15 signaised points used (notice that soe of the points differ ony in the vertica coordinates and therefore, are shown superiposed in figure 7). The ack ines ink the aser position with the ground contro points and syoise the aser iage easureents of the signaised points. The resuts and the fora accuracies of the adjustent are presented in tae 1. vaue σ offset Misaignent anges X Y Z ω ϕ κ Figure 6: Cairation scene. Coination of intensity and distance iage (aove), intensity iage (centre) and RGB iage (eow) (signaised points are easiy identified in the intensity iage) Tae 1: Deterination of the offset and isaignent atrix in the adjustent 4. DYNAMIC LASER SCANNING Once the aser was synchronized to GPS tie and the constant offset and isaignent atrix coputed y using the ethod descried in the previous section, it was possie to use the terrestria aser as a pushroo sensor y fixing the scan ange and sweeping the scene with profies whie the vehice is in oveent. Every singe point easured y the aser is transfored to the apping reference frae y using its corresponding orientation and appying the foruas descried in equation 4. d = d 2d 3d Figure 7: Laser ounting cairation: adjustent of four aser static scenes. Red: position of the GPS/IMU sensors. Bue: position of the terrestria aser. Back: contro point easured in the aser scenes Figures 8 and 9 show the aser RGB iages coected in a kineatic ode. The aser was verticay ounted on the integration patfor and the rotating irror was perforing vertica scans ooking at the right side of the van whie it was oving. In figure 8 the exterior uidings of a roundaout 22

5 can e oserved whie in figure 9 soe cars can e identified parked on the street. These iages show the oriented raw aser data represented in a apping reference frae. In order to otain usefu inforation these data have to e fitered and edited e.g. for extracting and odeing the uidings represented in the iages. Figure 10: Intensity iage fro a train overhead power cae (aser ooking up) Figure 8: RGB aser points coected in a kineatic survey (aser ooking to the right side of the van) It is we known that the deterination of the trajectory of a van inside a city is very difficut due to the constant GPS outages. Therefore, the coparison was done on those parts of the trajectory where an acceptae orientation was coputed. Fro a aser point coud potted together with the 1:1000 ine ap ten we defined check points were easured. Figure 11 iustrates the seection of one we defined point at a uiding roof corner. The coordinates of the aser points were copared to the point ap coordinates. Tae 2 shows the coparison of the ten check points identified in the 1:1000 ine ap and in the aser point coud. Figure 9: RGB aser points coected in a kineatic survey (aser ooking to the right side of the van) The aser can aso e ounted horizontay. In this configuration the rotation irror perfors horizonta scans perpendicuar to the direction of the van. This configuration has two ain appications: a) whie the scanner is ooking down it can e used to ode the road surface and ) whie the scanner is ooking up it can e used to ode aeria infrastructures. Figure 10 shows an exape of an horizonta scanner. In that case the scanner was ooking up whie the van was ounted on a train and the train overhead power cae was surveyed. 4.1 Coparison with 1:1000 city ap An uran survey was carried out in kineatic ode with the aser verticay ounted (as shown in figure 5) and perforing vertica scans of the uidings façades. After orienting the aser points using the ethod descried in this paper, the point couds were potted together with the avaiae city ap that have an accuracy of 20 c (1.64 σ) per coponent. Point-ID de dn dh [] MIN. MEAN MAX. RANGE RMS. σ [] de dn dh Tae 2: Differences of coordinates at the 10 check points (aser coordinates ap coordinates) As can e oserved the resuts are on the eve of 0.18 in Easting, 0.35 in Northing and 0.13 in the vertica coponent. As the path studied is not very ong the systeatic difference oserved in the North direction is assued to e caused y a reaining error in the trajectory deterination. 23

6 The direct orientation of a terrestria aser opens the possiiity to use the sensor as a pushroo sensor that is ae to scan crossroad sections and uidings façades whie the vehice is oving. Assuing a good GPS coverage and a good orientation deterination, the dynaic aser survey showed RMS differences of 0.18 in Easting, 0.35 in Northing and 0.13 in the vertica coponent copared to 1:1000 city aps. In order to fuy expoit the integration of a terrestria aser scanner in a oie apping frae further deveopents are necessary incuding uiding reconstruction y processing the aser point coud and iproving the orientation accuracy in uran areas. REFERENCES Figure 11: Coparison of 1:1000 ap with the aser points. in RGB (aove) and coour coded eevation representation (eow) 5. SUMMARY This report descries the integration of a terrestria aser scanner on the Geoòi oie apping syste deveoped at ICC. The critica points of the integration are descried, incuding the aser synchronization and the syste cairation. The cairation procedure descried in the paper aowed the deterination of the IMU/aser offset with a fora accuracy of and the deterination of the isaignent atrix with a fora accuracy of arcseconds. Aaús,R., Baron,A., Bosch,E., Casacuerta,J., Miranda,J., Pa,M., Sànchez,S., Serra,A., Taaya,J., On the accuray and perforance of the Geoòi syste. XXth ISPRS Congress Geo-Iagery Bridging Continents, Juy Istanu, Turkey. Lindenerger,J., Laser-Profiessung zur topographischen Geändeaufnahe. PhD dissertation, Deutsche Geodätische Koission ei der Bayerischen Akadeie der Wissenschaften, Reihe C, Heft Nr Rieg Laser Measureents Systes GH Laser Mirror Scanner LMS-Z210 Technica docuentation. and User s Instructions. Taaya,J. Bosch,E., Aaus,R., Serra,A., Baron,A., Geoòi: the Moie Mapping Syste fro the ICC 4 th Internationa Syposiu on Moie Mapping Technoogy (MMT 2004) March, Kuning, China. 24

TRANSFORMATIONS AND SYMMETRY

TRANSFORMATIONS AND SYMMETRY TRNSFORMTIONS ND SYMMETRY 1.2.1 1.2.5 Studing transforations of geoetric shapes buids a foundation for a ke idea in geoetr: congruence. In this introduction to transforations, the students epore three

More information

TRANSFORMATIONS AND SYMMETRY

TRANSFORMATIONS AND SYMMETRY 2 Transforations Defense Practice TRNSFORMTIONS ND SYMMETRY 1.2.1 1.2.5 Studing transforations of geoetric shapes buids a foundation for a ke idea in geoetr: congruence. In this introduction to transforations,

More information

A Petrel Plugin for Surface Modeling

A Petrel Plugin for Surface Modeling A Petre Pugin for Surface Modeing R. M. Hassanpour, S. H. Derakhshan and C. V. Deutsch Structure and thickness uncertainty are important components of any uncertainty study. The exact ocations of the geoogica

More information

SYSTEMATIC CALIBRATION FOR A BACKPACKED SPHERICAL PHOTOGRAMMETRY IMAGING SYSTEM

SYSTEMATIC CALIBRATION FOR A BACKPACKED SPHERICAL PHOTOGRAMMETRY IMAGING SYSTEM SYSTEMATIC CALIBRATION FOR A BACKPACKED SPHERICAL PHOTOGRAMMETRY IMAGING SYSTEM J. Y. Rau a, *, B. W. Su b, K. W. Hsiao c and J. P. Jhan d Departent of Geoatics, National Cheng Kung University, Tainan,

More information

ON THE ACCURAY AND PERFORMANCE OF THE GEOMÒBIL SYSTEM

ON THE ACCURAY AND PERFORMANCE OF THE GEOMÒBIL SYSTEM ON THE ACCURAY AND PERFORMANCE OF THE GEOMÒBIL SYSTEM R. Alamús, A.Baron, E.Bosch, J.Casacuberta, J.Miranda, M.Pla, S.Sànchez, A.Serra, J.Talaya Institut Cartogràfic de Catalunya (ICC), Parc de Montjuïc,

More information

Lines and Angles. introduction

Lines and Angles. introduction 9 Lines and nges intrductin In cass VI, you have earnt soe basic concepts and ters of geoetry point, ine, pane, ine segent, ray, ange and types of anges. In this chapter, we sha earn about soe pairs of

More information

NEW APPROACHES FOR REAL TIME TRAFFIC DATA ACQUISITION WITH AIRBORNE SYSTEMS

NEW APPROACHES FOR REAL TIME TRAFFIC DATA ACQUISITION WITH AIRBORNE SYSTEMS NEW APPROACHES FOR REAL TIME TRAFFIC DATA ACQUISITION WITH AIRBORNE SYSTEMS I. Ernst a *, M. Hetscher a, K. Thiessenhusen a, M. Ruhé a, A. Börner b, S. Zuev a a DLR, Institute of Transportation Research,

More information

Insert the power cord into the AC input socket of your projector, as shown in Figure 1. Connect the other end of the power cord to an AC outlet.

Insert the power cord into the AC input socket of your projector, as shown in Figure 1. Connect the other end of the power cord to an AC outlet. Getting Started This chapter wi expain the set-up and connection procedures for your projector, incuding information pertaining to basic adjustments and interfacing with periphera equipment. Powering Up

More information

LARGE SCALE MARS MAPPING AND ROVER LOCALIZATION USING DESCENT AND ROVER IMAGERY

LARGE SCALE MARS MAPPING AND ROVER LOCALIZATION USING DESCENT AND ROVER IMAGERY LRGE SCLE MRS MIG D ROVER LOCLIZIO USIG DESCE D ROVER IMGERY Rongxing LI *, Fei M *, Fengiang U *, Larry MHIES **, Cark OLSO **, Yaing IOG ** * Departent of Civi and Environenta Engineering and Geodetic

More information

Origami Axioms. O2 Given two marked points P and Q, we can fold a marked line that places P on top of Q.

Origami Axioms. O2 Given two marked points P and Q, we can fold a marked line that places P on top of Q. Origai Axios Given a piece of paper, it is possibe to fod ots of different ines on it. However, ony soe of those ines are constructibe ines, eaning that we can give precise rues for foding the without

More information

Mobile App Recommendation: Maximize the Total App Downloads

Mobile App Recommendation: Maximize the Total App Downloads Mobie App Recommendation: Maximize the Tota App Downoads Zhuohua Chen Schoo of Economics and Management Tsinghua University chenzhh3.12@sem.tsinghua.edu.cn Yinghui (Catherine) Yang Graduate Schoo of Management

More information

Extending Graph Rewriting for Refactoring

Extending Graph Rewriting for Refactoring Extending Graph Rewriting for Refactoring Nies Van Eetvede, Dirk Janssens University of Antwerp Departent of oputer science Middeheiaan 1 2020 Antwerpen {nies.vaneetvede dirk.janssens@ua.ac.be Abstract.

More information

Language Identification for Texts Written in Transliteration

Language Identification for Texts Written in Transliteration Language Identification for Texts Written in Transiteration Andrey Chepovskiy, Sergey Gusev, Margarita Kurbatova Higher Schoo of Economics, Data Anaysis and Artificia Inteigence Department, Pokrovskiy

More information

METAMORPHOSIS OF PERIODIC SURFACE MODELS

METAMORPHOSIS OF PERIODIC SURFACE MODELS Proceedings of ASE 2009 Internationa Design Engineering echnica Conferences & Coputers and Inforation in Engineering Conference IDEC/CIE 2009 August 0 Septeber 2, 2009, San Diego, Caifornia, USA DEC2009/DAC-870

More information

Neural Network Enhancement of the Los Alamos Force Deployment Estimator

Neural Network Enhancement of the Los Alamos Force Deployment Estimator Missouri University of Science and Technoogy Schoars' Mine Eectrica and Computer Engineering Facuty Research & Creative Works Eectrica and Computer Engineering 1-1-1994 Neura Network Enhancement of the

More information

file://j:\macmillancomputerpublishing\chapters\in073.html 3/22/01

file://j:\macmillancomputerpublishing\chapters\in073.html 3/22/01 Page 1 of 15 Chapter 9 Chapter 9: Deveoping the Logica Data Mode The information requirements and business rues provide the information to produce the entities, attributes, and reationships in ogica mode.

More information

Image Processing for fmri John Ashburner. Wellcome Trust Centre for Neuroimaging, 12 Queen Square, London, UK.

Image Processing for fmri John Ashburner. Wellcome Trust Centre for Neuroimaging, 12 Queen Square, London, UK. Iage Processing for fmri John Ashburner Wellcoe Trust Centre for Neuroiaging, 12 Queen Square, London, UK. Contents * Preliinaries * Rigid-Body and Affine Transforations * Optiisation and Objective Functions

More information

A Fast Recovery Technique for Multi-Point to Multi-Point MPLS tunnels

A Fast Recovery Technique for Multi-Point to Multi-Point MPLS tunnels M. Chaitou and J. L. Roux / IJECCT 01, Vo. (3) 34 A Fast Recovery Technique for Muti-Point to Muti-Point MPLS tunnes Mohaad Chaitou and Jean-Louis Le RouxOrange Labs avenue Pierre Marzin, 300 Lannion France

More information

Performance Modeling of Database Servers in a Telecommunication Service Management System

Performance Modeling of Database Servers in a Telecommunication Service Management System ICDT : The Seventh Internationa Conference on Digita Teecounications Perforance Modeing of Database Servers in a Teecounication Service Manageent Syste Maria Kih, Paya Aani, Anders Robertsson, Gabriea

More information

CHAPTER 5 EXPERIMENTAL RESULTS. 5.1 Boresight Calibration

CHAPTER 5 EXPERIMENTAL RESULTS. 5.1 Boresight Calibration CHAPTER 5 EXPERIMENTAL RESULTS 5. Boresight Caibration To compare the accuracy of determined boresight misaignment parameters, both the manua tie point seections and the tie points detected with image

More information

An Integrated Processing Method for Multiple Large-scale Point-Clouds Captured from Different Viewpoints

An Integrated Processing Method for Multiple Large-scale Point-Clouds Captured from Different Viewpoints 519 An Integrated Processing Method for Multiple Large-scale Point-Clouds Captured fro Different Viewpoints Yousuke Kawauchi 1, Shin Usuki, Kenjiro T. Miura 3, Hiroshi Masuda 4 and Ichiro Tanaka 5 1 Shizuoka

More information

The Big Picture WELCOME TO ESIGNAL

The Big Picture WELCOME TO ESIGNAL 2 The Big Picture HERE S SOME GOOD NEWS. You don t have to be a rocket scientist to harness the power of esigna. That s exciting because we re certain that most of you view your PC and esigna as toos for

More information

The Horizontal Deformation Analysis of High-rise Buildings

The Horizontal Deformation Analysis of High-rise Buildings Environental Engineering 10th International Conference eissn 2029-7092 / eisbn 978-609-476-044-0 Vilnius Gediinas Technical University Lithuania, 27 28 April 2017 Article ID: enviro.2017.194 http://enviro.vgtu.lt

More information

Database Replication Algorithm Performance in High Speed Networks Under Load Balancing

Database Replication Algorithm Performance in High Speed Networks Under Load Balancing Database Repication Agorith Perforance in High Speed Networks Under Load Baancing Rekh Nath Singh 1, Raghura Singh 2 1 Research Schoar, A. P. J. Abdu Kaa Technica University, Lucknow, India. 2 Director,

More information

Preprocessing I: Within Subject John Ashburner

Preprocessing I: Within Subject John Ashburner Preprocessing I: Within Subject John Ashburner Pre-processing Overview Statistics or whatever fmri tie-series Anatoical MRI Teplate Soothed Estiate Spatial Nor Motion Correct Sooth Coregister 11 21 31

More information

A NEW METHOD FOR OPTIMAL LOCATION OF FACTS CONTROLLERS USING GENETIC ALGORITHM

A NEW METHOD FOR OPTIMAL LOCATION OF FACTS CONTROLLERS USING GENETIC ALGORITHM Journa of heoretica and Appied Inforation echnoogy 200-2007 JAI. A rights reserved. www.atit.org A NEW MEHOD FOR OPIMAL LOCAION OF FACS CONROLLERS USING GENEIC ALGORIHM 1 K. Vayakuar, 2 Dr. R. P. Kuudinidevi

More information

IMAGE MOSAICKING FOR ESTIMATING THE MOTION OF AN UNDERWATER VEHICLE. Rafael García, Xevi Cufí and Lluís Pacheco

IMAGE MOSAICKING FOR ESTIMATING THE MOTION OF AN UNDERWATER VEHICLE. Rafael García, Xevi Cufí and Lluís Pacheco IMAGE MOSAICKING FOR ESTIMATING THE MOTION OF AN UNDERWATER VEHICLE Rafael García, Xevi Cufí and Lluís Pacheco Coputer Vision and Robotics Group Institute of Inforatics and Applications, University of

More information

THE PERCENTAGE OCCUPANCY HIT OR MISS TRANSFORM

THE PERCENTAGE OCCUPANCY HIT OR MISS TRANSFORM 17th European Signa Processing Conference (EUSIPCO 2009) Gasgow, Scotand, August 24-28, 2009 THE PERCENTAGE OCCUPANCY HIT OR MISS TRANSFORM P. Murray 1, S. Marsha 1, and E.Buinger 2 1 Dept. of Eectronic

More information

Hiding secrete data in compressed images using histogram analysis

Hiding secrete data in compressed images using histogram analysis University of Woongong Research Onine University of Woongong in Dubai - Papers University of Woongong in Dubai 2 iding secrete data in compressed images using histogram anaysis Farhad Keissarian University

More information

MosaicShape: Stochastic Region Grouping with Shape Prior

MosaicShape: Stochastic Region Grouping with Shape Prior Boston University Coputer Science Technica Report No. 2005-008, Feb. 2005. To appear in Proc. CVPR, 2005. MosaicShape: Stochastic Region Grouping with Shape Prior Jingbin Wang Erdan Gu Margrit Bete Coputer

More information

LCD Video Controller. LCD Video Controller. Introduction Safety Precautions Indentifying the Components... 5

LCD Video Controller. LCD Video Controller. Introduction Safety Precautions Indentifying the Components... 5 LCD Video Controer LCD Video Controer Introduction... 3 Safety Precautions... 4 Indentifying the Components... 5 Main Board... 5 Main Board ASIC Features... 6 LVDS Transmitter... 8 Backight Inverter...

More information

Relative Positioning from Model Indexing

Relative Positioning from Model Indexing Reative Positioning from Mode Indexing Stefan Carsson Computationa Vision and Active Perception Laboratory (CVAP)* Roya Institute of Technoogy (KTH), Stockhom, Sweden Abstract We show how to determine

More information

Backing-up Fuzzy Control of a Truck-trailer Equipped with a Kingpin Sliding Mechanism

Backing-up Fuzzy Control of a Truck-trailer Equipped with a Kingpin Sliding Mechanism Backing-up Fuzzy Contro of a Truck-traier Equipped with a Kingpin Siding Mechanism G. Siamantas and S. Manesis Eectrica & Computer Engineering Dept., University of Patras, Patras, Greece gsiama@upatras.gr;stam.manesis@ece.upatras.gr

More information

Lecture outline Graphics and Interaction Scan Converting Polygons and Lines. Inside or outside a polygon? Scan conversion.

Lecture outline Graphics and Interaction Scan Converting Polygons and Lines. Inside or outside a polygon? Scan conversion. Lecture outine 433-324 Graphics and Interaction Scan Converting Poygons and Lines Department of Computer Science and Software Engineering The Introduction Scan conversion Scan-ine agorithm Edge coherence

More information

Sample of a training manual for a software tool

Sample of a training manual for a software tool Sampe of a training manua for a software too We use FogBugz for tracking bugs discovered in RAPPID. I wrote this manua as a training too for instructing the programmers and engineers in the use of FogBugz.

More information

Sect 8.1 Lines and Angles

Sect 8.1 Lines and Angles 7 Sect 8. Lines and nges Objective a: asic efinitions. efinition Iustration Notation point is a ocation in space. It is indicated by aking a dot. Points are typicay abeed with capita etters next to the

More information

understood as processors that match AST patterns of the source language and translate them into patterns in the target language.

understood as processors that match AST patterns of the source language and translate them into patterns in the target language. A Basic Compier At a fundamenta eve compiers can be understood as processors that match AST patterns of the source anguage and transate them into patterns in the target anguage. Here we wi ook at a basic

More information

The optimization design of microphone array layout for wideband noise sources

The optimization design of microphone array layout for wideband noise sources PROCEEDINGS of the 22 nd International Congress on Acoustics Acoustic Array Systes: Paper ICA2016-903 The optiization design of icrophone array layout for wideband noise sources Pengxiao Teng (a), Jun

More information

Improving Memory Energy Using Access Pattern Classification

Improving Memory Energy Using Access Pattern Classification Iproving Meory Energy Using Access Pattern Cassification Mahut Kandeir Microsystes Design Lab Pennsyvania State University University Par, PA 16802 andeir@cse.psu.edu Ugur Sezer ECE Departent University

More information

NON-RIGID OBJECT TRACKING: A PREDICTIVE VECTORIAL MODEL APPROACH

NON-RIGID OBJECT TRACKING: A PREDICTIVE VECTORIAL MODEL APPROACH NON-RIGID OBJECT TRACKING: A PREDICTIVE VECTORIAL MODEL APPROACH V. Atienza; J.M. Valiente and G. Andreu Departaento de Ingeniería de Sisteas, Coputadores y Autoática Universidad Politécnica de Valencia.

More information

Aerodynamic Parameter Measurement Using the Wind Driven Manipulator: Inverse Force Measurement on Wings

Aerodynamic Parameter Measurement Using the Wind Driven Manipulator: Inverse Force Measurement on Wings AIAA Paper 97-222, Applied Aerodynaics Conference, June 1997 Aerodynaic Paraeter Measureent Using the Wind Driven Manipulator: Inverse Force Measureent on Wings Richard G. Aes, N.M. Koerath, J.C. Magill

More information

Concise Papers. Main Memory Indexing: The Case for BD-Tree 1 INTRODUCTION 3 COST ANALYSIS 2 THE MEMORY-BASED BD-TREE

Concise Papers. Main Memory Indexing: The Case for BD-Tree 1 INTRODUCTION 3 COST ANALYSIS 2 THE MEMORY-BASED BD-TREE 870 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 16, NO. 7, JULY 2004 Concise Papers Main Meory Indexing: The Case for BD-Tree BinCui,BengChinOoi,Meber, IEEE, Jianwen Su, Senior Meber, IEEE,

More information

Computer Networks. College of Computing. Copyleft 2003~2018

Computer Networks. College of Computing.   Copyleft 2003~2018 Computer Networks Prof. Lin Weiguo Coege of Computing Copyeft 2003~2018 inwei@cuc.edu.cn http://icourse.cuc.edu.cn/computernetworks/ http://tc.cuc.edu.cn Internet Contro Message Protoco (ICMP), RFC 792

More information

A Memory Grouping Method for Sharing Memory BIST Logic

A Memory Grouping Method for Sharing Memory BIST Logic A Memory Grouping Method for Sharing Memory BIST Logic Masahide Miyazai, Tomoazu Yoneda, and Hideo Fuiwara Graduate Schoo of Information Science, Nara Institute of Science and Technoogy (NAIST), 8916-5

More information

Identifying and Tracking Pedestrians Based on Sensor Fusion and Motion Stability Predictions

Identifying and Tracking Pedestrians Based on Sensor Fusion and Motion Stability Predictions Sensors 2010, 10, 8028-8053; doi:10.3390/s100908028 OPEN ACCESS sensors ISSN 1424-8220 www.mdpi.com/journa/sensors Artice Identifying and Tracking Pedestrians Based on Sensor Fusion and Motion Stabiity

More information

DETECTION OF OBSTACLE AND FREESPACE IN AN AUTONOMOUS WHEELCHAIR USING A STEREOSCOPIC CAMERA SYSTEM

DETECTION OF OBSTACLE AND FREESPACE IN AN AUTONOMOUS WHEELCHAIR USING A STEREOSCOPIC CAMERA SYSTEM DETECTION OF OBSTACLE AND FREESPACE IN AN AUTONOMOUS WHEELCHAIR USING A STEREOSCOPIC CAMERA SYSTEM Le Minh 1, Thanh Hai Nguyen 2, Tran Nghia Khanh 2, Vo Văn Toi 2, Ngo Van Thuyen 1 1 University of Technica

More information

Development of a National Portal for Tuvalu. Business Case. SPREP Pacific iclim

Development of a National Portal for Tuvalu. Business Case. SPREP Pacific iclim Deveopment of a Nationa Porta for Tuvau Business Case SPREP Pacific iclim Apri 2018 Tabe of Contents 1. Introduction... 3 1.1 Report Purpose... 3 1.2 Background & Context... 3 1.3 Other IKM Activities

More information

A Design Method for Optimal Truss Structures with Certain Redundancy Based on Combinatorial Rigidity Theory

A Design Method for Optimal Truss Structures with Certain Redundancy Based on Combinatorial Rigidity Theory 0 th Word Congress on Structura and Mutidiscipinary Optimization May 9 -, 03, Orando, Forida, USA A Design Method for Optima Truss Structures with Certain Redundancy Based on Combinatoria Rigidity Theory

More information

NCH Software Spin 3D Mesh Converter

NCH Software Spin 3D Mesh Converter NCH Software Spin 3D Mesh Converter This user guide has been created for use with Spin 3D Mesh Converter Version 1.xx NCH Software Technica Support If you have difficuties using Spin 3D Mesh Converter

More information

CHAPTER 13 FINITE ELEMENTS: STIFFNESS MATRICES

CHAPTER 13 FINITE ELEMENTS: STIFFNESS MATRICES 4 5 CHAPTER FINITE ELEMENTS: STIFFNESS MATRICES. Introduction The purpose of this chapter is to use two simpe exampes to expain the asics of how finite eement stiffness matrices are formuated and how static

More information

Enhanced continuous, real-time detection, alarming and analysis of partial discharge events

Enhanced continuous, real-time detection, alarming and analysis of partial discharge events DMS PDMG-RH Partia discharge monitor for GIS Enhanced continuous, rea-time detection, aarming and anaysis of partia discharge events Automatic PD faut cassification High resoution Seectabe UHF fiters and

More information

AGV PATH PLANNING BASED ON SMOOTHING A* ALGORITHM

AGV PATH PLANNING BASED ON SMOOTHING A* ALGORITHM International Journal of Software Engineering & Applications (IJSEA), Vol.6, No.5, Septeber 205 AGV PATH PLANNING BASED ON SMOOTHING A* ALGORITHM Xie Yang and Cheng Wushan College of Mechanical Engineering,

More information

JOINT IMAGE REGISTRATION AND EXAMPLE-BASED SUPER-RESOLUTION ALGORITHM

JOINT IMAGE REGISTRATION AND EXAMPLE-BASED SUPER-RESOLUTION ALGORITHM JOINT IMAGE REGISTRATION AND AMPLE-BASED SUPER-RESOLUTION ALGORITHM Hyo-Song Kim, Jeyong Shin, and Rae-Hong Park Department of Eectronic Engineering, Schoo of Engineering, Sogang University 35 Baekbeom-ro,

More information

Rate-Gyro-Integral Constraint for Ambiguity Resolution in GNSS Attitude Determination Applications

Rate-Gyro-Integral Constraint for Ambiguity Resolution in GNSS Attitude Determination Applications Sensors 213, 13, 7979-7999; doi:1.339/s1367979 Article OPEN ACCESS sensors ISSN 1424-822 www.dpi.co/journal/sensors Rate-Gyro-Integral Constraint for Aiguity Resolution in GNSS Attitude Deterination Applications

More information

Load Balancing by MPLS in Differentiated Services Networks

Load Balancing by MPLS in Differentiated Services Networks Load Baancing by MPLS in Differentiated Services Networks Riikka Susitaiva, Jorma Virtamo, and Samui Aato Networking Laboratory, Hesinki University of Technoogy P.O.Box 3000, FIN-02015 HUT, Finand {riikka.susitaiva,

More information

MCSE Training Guide: Windows Architecture and Memory

MCSE Training Guide: Windows Architecture and Memory MCSE Training Guide: Windows 95 -- Ch 2 -- Architecture and Memory Page 1 of 13 MCSE Training Guide: Windows 95-2 - Architecture and Memory This chapter wi hep you prepare for the exam by covering the

More information

Real Time Displacement Measurement of an image in a 2D Plane

Real Time Displacement Measurement of an image in a 2D Plane International Journal of Scientific Research Engineering & Technology (IJSRET), ISSN 2278 0882 Volue 5, Issue 3, March 2016 176 Real Tie Displaceent Measureent of an iage in a 2D Plane Abstract Prashant

More information

Intro to Programming & C Why Program? 1.2 Computer Systems: Hardware and Software. Why Learn to Program?

Intro to Programming & C Why Program? 1.2 Computer Systems: Hardware and Software. Why Learn to Program? Intro to Programming & C++ Unit 1 Sections 1.1-3 and 2.1-10, 2.12-13, 2.15-17 CS 1428 Spring 2018 Ji Seaman 1.1 Why Program? Computer programmabe machine designed to foow instructions Program a set of

More information

Dynamic Symbolic Execution of Distributed Concurrent Objects

Dynamic Symbolic Execution of Distributed Concurrent Objects Dynamic Symboic Execution of Distributed Concurrent Objects Andreas Griesmayer 1, Bernhard Aichernig 1,2, Einar Broch Johnsen 3, and Rudof Schatte 1,2 1 Internationa Institute for Software Technoogy, United

More information

Development and self-calibration of a robotic visual inspecting system

Development and self-calibration of a robotic visual inspecting system nd International Conference on Machinery, Electronics and Control Siulation (MECS 7) Developent and self-calibration of a robotic visual inspecting syste Chengyi Yu, a, Xiaobo Chen,b and Juntong Xi3,c

More information

Pneumo-Mechanical Simulation of a 2 Dof Planar Manipulator

Pneumo-Mechanical Simulation of a 2 Dof Planar Manipulator Pneumo-Mechanica Simuation of a 2 Dof Panar Manipuator Hermes GIBERTI, Simone CINQUEMANI Mechanica Engineering Department, Poitecnico di Miano, Campus Bovisa Sud, via La Masa 34, 2156, Miano, Itay ABSTRACT

More information

Filtering. Yao Wang Polytechnic University, Brooklyn, NY 11201

Filtering. Yao Wang Polytechnic University, Brooklyn, NY 11201 Spatia Domain Linear Fitering Yao Wang Poytechnic University Brookyn NY With contribution rom Zhu Liu Onur Gueryuz and Gonzaez/Woods Digita Image Processing ed Introduction Outine Noise remova using ow-pass

More information

Generalizing the Dubins and Reeds-Shepp cars: fastest paths for bounded-velocity mobile robots

Generalizing the Dubins and Reeds-Shepp cars: fastest paths for bounded-velocity mobile robots 2008 IEEE Internationa Conference on Robotics and Automation Pasadena, CA, USA, May 19-23, 2008 Generaizing the Dubins and Reeds-Shepp cars: fastest paths for bounded-veocity mobie robots Andrei A. Furtuna,

More information

Multi-level Shape Recognition based on Wavelet-Transform. Modulus Maxima

Multi-level Shape Recognition based on Wavelet-Transform. Modulus Maxima uti-eve Shape Recognition based on Waveet-Transform oduus axima Faouzi Aaya Cheikh, Azhar Quddus and oncef Gabbouj Tampere University of Technoogy (TUT), Signa Processing aboratory, P.O. Box 553, FIN-33101

More information

Bridge Talk Release Notes for Meeting Exchange 5.0

Bridge Talk Release Notes for Meeting Exchange 5.0 Bridge Tak Reease Notes for Meeting Exchange 5.0 This document ists new product features, issues resoved since the previous reease, and current operationa issues. New Features This section provides a brief

More information

EX-10 SERIES. Ultra-slim Photoelectric Sensor. Amplifier built-in extraordinarily small and slim size. Smallest body, just 3.5 mm 0.

EX-10 SERIES. Ultra-slim Photoelectric Sensor. Amplifier built-in extraordinarily small and slim size. Smallest body, just 3.5 mm 0. 255 Utra-sim Photoeectric Sensor EX- SERIES Reated Information Genera terms and conditions...p.1 Gossary of terms / Genera precautions...p.93~ / P.96~ Sensor seection guide...p.~ / P.229~ Korea s S-mark...

More information

A comparative study of colortexture

A comparative study of colortexture 12th Int. Worshop on Systes, Signas & Iage Processing, 22-24 Septeber 2005, haida, Greece 205 A coparative study of coortexture iage features Diitris Iaovidis* Departent of Inforatics and Teecounications,

More information

Revisions for VISRAD

Revisions for VISRAD Revisions for VISRAD 16.0.0 Support has been added for the SLAC MEC target chamber: 4 beams have been added to the Laser System: X-ray beam (fixed in Port P 90-180), 2 movabe Nd:Gass (ong-puse) beams,

More information

Computer Graphics. - Shading & Texturing -

Computer Graphics. - Shading & Texturing - Computer Graphics - Shading & Texturing - Empirica BRDF Approximation Purey heuristic mode Initiay without units (vaues [0,1] r = r,a + r,d + r,s ( + r,m + r,t r,a : Ambient term Approximate indirect iumination

More information

Further Optimization of the Decoding Method for Shortened Binary Cyclic Fire Code

Further Optimization of the Decoding Method for Shortened Binary Cyclic Fire Code Further Optimization of the Decoding Method for Shortened Binary Cycic Fire Code Ch. Nanda Kishore Heosoft (India) Private Limited 8-2-703, Road No-12 Banjara His, Hyderabad, INDIA Phone: +91-040-3378222

More information

sensors ISSN

sensors ISSN Sensors 29, 9, 2586-261; doi:1.339/s942586 Artice OPEN ACCESS sensors ISSN 1424-822 www.mdpi.com/journa/sensors An Artificia Neura Network Embedded Position and Orientation Determination Agorithm for Low

More information

Guardian 365 Pro App Guide. For more exciting new products please visit our website: Australia: OWNER S MANUAL

Guardian 365 Pro App Guide. For more exciting new products please visit our website: Australia:   OWNER S MANUAL Guardian 365 Pro App Guide For more exciting new products pease visit our website: Austraia: www.uniden.com.au OWNER S MANUAL Privacy Protection Notice As the device user or data controer, you might coect

More information

A HIGH PERFORMANCE, LOW LATENCY, LOW POWER AUDIO PROCESSING SYSTEM FOR WIDEBAND SPEECH OVER WIRELESS LINKS

A HIGH PERFORMANCE, LOW LATENCY, LOW POWER AUDIO PROCESSING SYSTEM FOR WIDEBAND SPEECH OVER WIRELESS LINKS A HIGH PERFORMANCE, LOW LATENCY, LOW POWER AUDIO PROCESSING SYSTEM FOR WIDEBAND SPEECH OVER WIRELESS LINKS Etienne Cornu 1, Aain Dufaux 2, and David Hermann 1 1 AMI Semiconductor Canada, 611 Kumpf Drive,

More information

Automatic Conversion Software for the Safety Verification of Goal-Based Control Programs

Automatic Conversion Software for the Safety Verification of Goal-Based Control Programs Subitted, 2009 Internationa Conference on Software Engineering (ICSE) http://www.cds.catech.edu/~urray/papers/2008t_h09-icse.ht Autoatic Conversion Software for the Safety Verification of Goa-Based Contro

More information

A Comparison of a Second-Order versus a Fourth- Order Laplacian Operator in the Multigrid Algorithm

A Comparison of a Second-Order versus a Fourth- Order Laplacian Operator in the Multigrid Algorithm A Comparison of a Second-Order versus a Fourth- Order Lapacian Operator in the Mutigrid Agorithm Kaushik Datta (kdatta@cs.berkeey.edu Math Project May 9, 003 Abstract In this paper, the mutigrid agorithm

More information

Meeting Exchange 4.1 Service Pack 2 Release Notes for the S6200/S6800 Servers

Meeting Exchange 4.1 Service Pack 2 Release Notes for the S6200/S6800 Servers Meeting Exchange 4.1 Service Pack 2 Reease Notes for the S6200/S6800 Servers The Meeting Exchange S6200/S6800 Media Servers are SIP-based voice and web conferencing soutions that extend Avaya s conferencing

More information

Further Concepts in Geometry

Further Concepts in Geometry ppendix F Further oncepts in Geometry F. Exporing ongruence and Simiarity Identifying ongruent Figures Identifying Simiar Figures Reading and Using Definitions ongruent Trianges assifying Trianges Identifying

More information

TensorFlow and Keras-based Convolutional Neural Network in CAT Image Recognition Ang LI 1,*, Yi-xiang LI 2 and Xue-hui LI 3

TensorFlow and Keras-based Convolutional Neural Network in CAT Image Recognition Ang LI 1,*, Yi-xiang LI 2 and Xue-hui LI 3 2017 2nd International Conference on Coputational Modeling, Siulation and Applied Matheatics (CMSAM 2017) ISBN: 978-1-60595-499-8 TensorFlow and Keras-based Convolutional Neural Network in CAT Iage Recognition

More information

We will now take a closer look at the ideas behind the different types of symmetries that we have discussed by studying four different rigid motions.

We will now take a closer look at the ideas behind the different types of symmetries that we have discussed by studying four different rigid motions. hapter 11: The Matheatics of Syetry Sections 1-3: Rigid Motions Tuesday, pril 3, 2012 We will now take a closer look at the ideas behind the different types of syetries that we have discussed by studying

More information

CSE120 Principles of Operating Systems. Architecture Support for OS

CSE120 Principles of Operating Systems. Architecture Support for OS CSE120 Principes of Operating Systems Architecture Support for OS Why are you sti here? You shoud run away from my CSE120! 2 CSE 120 Architectura Support Announcement Have you visited the web page? http://cseweb.ucsd.edu/casses/fa18/cse120-a/

More information

A Low-cost GNSS/IMU/Visual monoslam/wss Integration Based on Federated Kalman Filtering for Navigation in Urban Environments

A Low-cost GNSS/IMU/Visual monoslam/wss Integration Based on Federated Kalman Filtering for Navigation in Urban Environments A Low-cost GNSS/IMU/Visua monoslam/wss Integration Based on Federated Kaman Fitering for Navigation in Urban Environments Amani Ben Afia, Anne-Christine Escher, Christophe Macabiau To cite this version:

More information

IrDA IrLAP Throughput Optimisation with Physical Layer Consideration

IrDA IrLAP Throughput Optimisation with Physical Layer Consideration IrDA IrLAP Throughput Optimisation with Physica Layer onsideration Abstract Barker, P. & Boucouvaas, A.. Mutimedia ommunications Research Group Schoo of Design, Engineering & omputing Bournemouth University,

More information

Proceedings of the International Conference on Systolic Arrays, San Diego, California, U.S.A., May 25-27, 1988 AN EFFICIENT ASYNCHRONOUS MULTIPLIER!

Proceedings of the International Conference on Systolic Arrays, San Diego, California, U.S.A., May 25-27, 1988 AN EFFICIENT ASYNCHRONOUS MULTIPLIER! [1,2] have, in theory, revoutionized cryptography. Unfortunatey, athough offer many advantages over conventiona and authentication), such cock synchronization in this appication due to the arge operand

More information

Colorado School of Mines. Computer Vision. Professor William Hoff Dept of Electrical Engineering &Computer Science.

Colorado School of Mines. Computer Vision. Professor William Hoff Dept of Electrical Engineering &Computer Science. Professor Willia Hoff Dept of Electrical Engineering &Coputer Science http://inside.ines.edu/~whoff/ 1 Caera Calibration 2 Caera Calibration Needed for ost achine vision and photograetry tasks (object

More information

CROSSOVER ANALYSIS OF CHANG E-1 LASER ALTIMETER DATA

CROSSOVER ANALYSIS OF CHANG E-1 LASER ALTIMETER DATA ISPRS Workshop on Geospatial Data Infrastructure: fro data acquisition and updating to sarter services CROSSOVER ANALYSIS OF CHANG E- LASER ALTIMETER DATA Wenin Hu, Zongyu Yue, Kaichang Di* Institute of

More information

Reference trajectory tracking for a multi-dof robot arm

Reference trajectory tracking for a multi-dof robot arm Archives of Contro Sciences Voume 5LXI, 5 No. 4, pages 53 57 Reference trajectory tracking for a muti-dof robot arm RÓBERT KRASŇANSKÝ, PETER VALACH, DÁVID SOÓS, JAVAD ZARBAKHSH This paper presents the

More information

H 10 M645 GETTING STA RT E D. Phase One A/S Roskildevej 39 DK-2000 Frederiksberg Denmark Tel Fax

H 10 M645 GETTING STA RT E D. Phase One A/S Roskildevej 39 DK-2000 Frederiksberg Denmark Tel Fax H 10 M645 GETTING STA RT E D Phase One A/S Roskidevej 39 DK-2000 Frederiksberg Denmark Te +45 36 46 01 11 Fax +45 36 46 02 22 Phase One U.S. 24 Woodbine Ave Northport, New York 11768 USA Te +00 631-757-0400

More information

An Introduction to Design Patterns

An Introduction to Design Patterns An Introduction to Design Patterns 1 Definitions A pattern is a recurring soution to a standard probem, in a context. Christopher Aexander, a professor of architecture Why woud what a prof of architecture

More information

Digital Image Watermarking Algorithm Based on Fast Curvelet Transform

Digital Image Watermarking Algorithm Based on Fast Curvelet Transform J. Software Engineering & Appications, 010, 3, 939-943 doi:10.436/jsea.010.310111 Pubished Onine October 010 (http://www.scirp.org/journa/jsea) 939 igita Image Watermarking Agorithm Based on Fast Curveet

More information

Space-Time Trade-offs.

Space-Time Trade-offs. Space-Time Trade-offs. Chethan Kamath 03.07.2017 1 Motivation An important question in the study of computation is how to best use the registers in a CPU. In most cases, the amount of registers avaiabe

More information

User s Guide. Eaton Bypass Power Module (BPM) For use with the following: Eaton 9155 UPS (8 15 kva)

User s Guide. Eaton Bypass Power Module (BPM) For use with the following: Eaton 9155 UPS (8 15 kva) Eaton Bypass Power Modue (BPM) User s Guide For use with the foowing: Eaton 9155 UPS (8 15 kva) Eaton 9170+ UPS (3 18 kva) Eaton 9PX Spit-Phase UPS (6 10 kva) Specia Symbos The foowing are exampes of symbos

More information

Special Edition Using Microsoft Office Sharing Documents Within a Workgroup

Special Edition Using Microsoft Office Sharing Documents Within a Workgroup Specia Edition Using Microsoft Office 2000 - Chapter 7 - Sharing Documents Within a.. Page 1 of 8 [Figures are not incuded in this sampe chapter] Specia Edition Using Microsoft Office 2000-7 - Sharing

More information

IBC DOCUMENT PROG007. SA/STA SERIES User's Guide V7.0

IBC DOCUMENT PROG007. SA/STA SERIES User's Guide V7.0 IBC DOCUMENT SA/STA SERIES User's Guide V7.0 Page 2 New Features for Version 7.0 Mutipe Schedues This version of the SA/STA firmware supports mutipe schedues for empoyees. The mutipe schedues are impemented

More information

Endoscopic Motion Compensation of High Speed Videoendoscopy

Endoscopic Motion Compensation of High Speed Videoendoscopy Endoscopic Motion Compensation of High Speed Videoendoscopy Bharath avuri Department of Computer Science and Engineering, University of South Caroina, Coumbia, SC - 901. ravuri@cse.sc.edu Abstract. High

More information

User Manual. ASeries A510

User Manual. ASeries A510 User Manua ASeries A510 Interface Converter Seria ó Parae The interfacing speciaists Version 6.00 August 1999 COPYRIGHTS A rights reserved. This document may not, in whoe or part, be copied, photocopied,

More information

NCH Software Express Accounts Accounting Software

NCH Software Express Accounts Accounting Software NCH Software Express Accounts Accounting Software This user guide has been created for use with Express Accounts Accounting Software Version 5.xx NCH Software Technica Support If you have difficuties using

More information

ANALYSIS AND RECOVERY OF SYSTEMATIC ERRORS IN AIRBORNE LASER SYSTEM

ANALYSIS AND RECOVERY OF SYSTEMATIC ERRORS IN AIRBORNE LASER SYSTEM ANALYSIS AND RECOVERY OF SYSTEMATIC ERRORS IN AIRBORNE LASER SYSTEM Zhihe Wang*, Rong Shu,Weiing Xu, Hongyi Pu, Bo Yao Shanghai Institute of Technical Physics, CAS, 500 Yutian Road, Shanghai 200083, P.

More information

The measuring of real state of the residential complex Vlčince II in Žilina by using of TLS technology

The measuring of real state of the residential complex Vlčince II in Žilina by using of TLS technology Acta Montanistica Slovaca Ročník 16 (2011), číslo 4, 299-306 The easuring of real state of the residential coplex Vlčince II in Žilina by using of TLS technology Katarína Pukanská 1 and Janka Sabová 1

More information

3D Building Detection and Reconstruction from Aerial Images Using Perceptual Organization and Fast Graph Search

3D Building Detection and Reconstruction from Aerial Images Using Perceptual Organization and Fast Graph Search 436 Journal of Electrical Engineering & Technology, Vol. 3, No. 3, pp. 436~443, 008 3D Building Detection and Reconstruction fro Aerial Iages Using Perceptual Organization and Fast Graph Search Dong-Min

More information

SA2100X-UG001 SA2100. User Guide

SA2100X-UG001 SA2100. User Guide SA2100X-UG001 SA2100 User Guide Version 2.0 August 7,2015 INSEEGO COPYRIGHT STATEMENT 2015 Inseego Corporation. A rights reserved. The information contained in this document is subject to change without

More information