Aided-inertial for GPS-denied Navigation and Mapping

Similar documents
Aided-inertial for Long-term, Self-contained GPS-denied Navigation and Mapping

The Most Comprehensive Solution for Indoor Mapping Applications

Perspective Sensing for Inertial Stabilization

TEST RESULTS OF A GPS/INERTIAL NAVIGATION SYSTEM USING A LOW COST MEMS IMU

The Applanix Approach to GPS/INS Integration

Sensor Fusion: Potential, Challenges and Applications. Presented by KVH Industries and Geodetics, Inc. December 2016

The road data acquisition system MoSES determination and accuracy of trajectory data gained with the Applanix POS/LV

TIMMS : FAST, ACCURATE & COST-EFFECTIVE INDOOR MAPPING

LANDINS Georeferencing and Orientation System

An Overview of Applanix.

Airborne Kinematic Positioning and Attitude Determination Without Base Stations

Vehicle Localization. Hannah Rae Kerner 21 April 2015

Inertial Systems. Ekinox Series TACTICAL GRADE MEMS. Motion Sensing & Navigation IMU AHRS MRU INS VG

navigation Isaac Skog

Iwane Mobile Mapping System

Introduction to Inertial Navigation (INS tutorial short)

Navigational Aids 1 st Semester/2007/TF 7:30 PM -9:00 PM

Intelligent Outdoor Navigation of a Mobile Robot Platform Using a Low Cost High Precision RTK-GPS and Obstacle Avoidance System

novatel.com For comprehensive Waypoint information, visit:

ROAD-SCANNER COMPACT APPLICATION FIELDS MAIN FEATURES

Stable Vision-Aided Navigation for Large-Area Augmented Reality

Trimble Indoor Mobile Mapping Solution

Federica Zampa Sineco SpA V. le Isonzo, 14/1, Milan, 20135, Italy

Localization Refinement for Indoor Modeling System Using Lasers and Images

Camera Calibration for a Robust Omni-directional Photogrammetry System

SPAN. novatel.com. Tightly coupled GNSS+INS technology performance for exceptional 3D, continuous position, velocity & attitude

Performance Evaluation of Optech's ALTM 3100: Study on Geo-Referencing Accuracy

G2-AS100. Presents: A mid-format fully integrated photogrammetric camera

Trimble Mobile Mapping Portfolio

Use of Image aided Navigation for UAV Navigation and Target Geolocation in Urban and GPS denied Environments

GPS-Aided Inertial Navigation Systems (INS) for Remote Sensing

Camera Drones Lecture 2 Control and Sensors

Testing the Possibilities of Using IMUs with Different Types of Movements

LiDAR & Orthophoto Data Report

Accuracy Assessment of POS AVX 210 integrated with the Phase One ixu150

Overview of the Trimble TX5 Laser Scanner

Distributed Vision-Aided Cooperative Navigation Based on Three-View Geometry

Evaluating the Performance of a Vehicle Pose Measurement System

DYNAMIC POSITIONING CONFERENCE September 16-17, Sensors

ifp Universität Stuttgart Performance of IGI AEROcontrol-IId GPS/Inertial System Final Report

GeoSmart Asia Locate 18

Satellite Attitude Determination

APPLANIX PRODUCTS AND SOLUTIONS FOR MOBILE MAPPING AND POSITIONING CAPTURE EVERYTHING. POSPac MMS HYDRO 08 November 2008

Trimble VISION Positions from Pictures

APPLANIX DIRECT GEOREFERENCING FOR AIRBORNE MAPPING. and FLIGHT MANAGEMENT SYSTEMS. The Better Way to Reduce the Cost of Airborne Mapping

REPORT DOCUMENTATION PAGE

Checking the values using backscatter data

Qinertia THE NEXT GENERATION INS/GNSS POST-PROCESSING SOFTWARE. For all mobile surveying applications

GPS/INS Integration in Real-time and Postprocessing with NovAtel s SPAN System

Relating Local Vision Measurements to Global Navigation Satellite Systems Using Waypoint Based Maps

Introducing. GeoSLAM. The experts in go anywhere 3D mobile mapping technology. The Company. The Technology. The Applications. Strategic Partnerships

Chapters 1 9: Overview

Georeferencing West Virginia DOT s Roadside Assets: An Asset Inventory Case Study. Geoff Dew April 13,

Airborne LiDAR Surveys and Data Delivery in the Pipeline Industry

2-4 April 2019 Taets Art and Event Park, Amsterdam CLICK TO KNOW MORE

IMPROVING THE PERFORMANCE OF MEMS IMU/GPS POS SYSTEMS FOR LAND BASED MMS UTILIZING TIGHTLY COUPLED INTEGRATION AND ODOMETER

OPTIMIZING 3D SURFACE CHARACTERISTICS DATA COLLECTION BY RE-USING THE DATA FOR PROJECT LEVEL ROAD DESIGN

a Geo-Odyssey of UAS LiDAR Mapping Henno Morkel UAS Segment Specialist DroneCon 17 May 2018

Direct Georeferencing and Flight Management Solutions for Airborne Mapping

Improving autonomous orchard vehicle trajectory tracking performance via slippage compensation

IP-S2 HD HD IP-S2. 3D Mobile Mapping System. 3D Mobile Mapping System

Test Report iµvru. (excerpt) Commercial-in-Confidence. imar Navigation GmbH Im Reihersbruch 3 D St. Ingbert Germany.

Construction Progress Management and Interior Work Analysis Using Kinect 3D Image Sensors

THE RANGER-UAV FEATURES

A Repository Of Sensor Data For Autonomous Driving Research

Indoor navigation using smartphones. Chris Hide IESSG, University of Nottingham, UK

A Pedestrian Navigation System Based On a Foot-Mounted IMU and Map Constraints. Dan Pierce and Dr. David Bevly

GI-Eye II GPS/Inertial System For Target Geo-Location and Image Geo-Referencing

GNSS/INS for High Accuracy Mobile Mapping. Olaf Gross 11 th Terrasolid European User Event Kittilä, Finland

9 Degrees of Freedom Inertial Measurement Unit with AHRS [RKI-1430]

Implementation of underwater precise navigation system for a remotely operated mine disposal vehicle

INTEGRATED TECH FOR INDUSTRIAL POSITIONING

Bringing Singapore to life in 3D

Mobile Mapping The StreetMapper Approach. Andrew Fuller LiDAR Systems Engineer

Motion estimation of unmanned marine vehicles Massimo Caccia

Tightly-Integrated Visual and Inertial Navigation for Pinpoint Landing on Rugged Terrains

Mapping Project Report Table of Contents

JANUARY 2017 WATER S END. Mobile Mapping. Station to Station. Decided Guidance Indoor application. Implementing BIM. A fixed boundary R E YEARS

Automating Data Alignment from Multiple Collects Author: David Janssen Optech Incorporated,Senior Technical Engineer

James Van Rens CEO Riegl USA, Inc. Mining Industry and UAV s combined with LIDAR Commercial UAV Las Vegas October 2015 James Van Rens CEO Riegl USA

Application of GPS/INS-Systems with the HRSC A Comparison of APPLANIX POS/AV-510 and IGI AEROcontrol-IId. F. Scholten*, S. Sujew**, K.

Integrated Multi-Source LiDAR and Imagery

PRECISE POSITION AND ATTITUDE GEOREGISTRATION OF VIDEO IMAGERY FOR TARGET GEOLOCATION

Wireless Networked Autonomous Mobile Robot with Dual High Resolution Pan-Tilt-Zoom Camera. Sputnik 2

Correcting INS Drift in Terrain Surface Measurements. Heather Chemistruck Ph.D. Student Mechanical Engineering Vehicle Terrain Performance Lab

EE565:Mobile Robotics Lecture 3

ABSTRACT ROBOT LOCALIZATION USING INERTIAL AND RF SENSORS. by Aleksandr Elesev

IP-S2 HD. High Definition 3D Mobile Mapping System

A New Direction in GIS Data Collection or Why Are You Still in the Field?

Introduction to Inertial Navigation and Kalman filtering

AT Ground Surveillance System (GSS)

GPSMAP 62 series quick start manual. For use with the GPSMAP 62, 62s, 62st, 62sc, and 62stc

Applanix POS AV TM and POSTrack TM : Frequently Asked Questions

GPS/IMU products the Applanix approach

Utilization of Position and Orientation Data for Preplanning and Real Time Autonomous Vehicle Navigation

Sensor Integration and Image Georeferencing for Airborne 3D Mapping Applications

Microwave. Infrared. Preprogrammed Chip

Airborne Direct Georeferencing of Frame Imagery: An Error Budget

Chapter 1: Overview. Photogrammetry: Introduction & Applications Photogrammetric tools:

Remote Sensing Sensor Integration

Transcription:

Aided-inertial for GPS-denied Navigation and Mapping Erik Lithopoulos Applanix Corporation 85 Leek Crescent, Richmond Ontario, Canada L4B 3B3 elithopoulos@applanix.com ABSTRACT This paper describes the use of navigation-grade inertial sensors for in-building navigation and mapping. In particular these sensors are well suited for: 1. Long-duration, infrastructure-less, portable in-building navigation 2. Generation of high-accuracy, georeferenced in-building photo-maps Photomaps can be converted to CAD diagrams or combined with outdoor land and air imagery of the building for a complete facility map. Facility maps can be used in public safety and military applications to train first responder crews and perform mission planning. In combination with real-time in-building positioning facility maps can provide precise in-building crew locations delivering complete situational awareness. 1.0 AIDED-INERTIAL FOR GPS-DENIED, PORTABLE NAVIGATION Dead Reckoning There are a certain missions requiring navigation over extended time periods inside GPS-denied facilities. These missions may extend to many hours without access to GPS or any other infrastructure support. Such missions include navigation and mapping of caves, silos, nuclear facilities and docked or moving ships. The only possible way of navigating in these environments is dead reckoning (Figure 1). Lithopoulos, E. (2007). In Military Capabilities Enabled by Advances in Navigation Sensors (pp. 23-1 23-8). Meeting Proceedings RTO-MP-SET-104, Paper 23. Neuilly-sur-Seine, France: RTO. Available from: http://www.rto.nato.int. RTO-MP-SET-104 23-1

actual end position heading alignment error DR-estimated end position start position Figure 1. Dead Reckoning In dead reckoning the heading (cross-track) and distance travelled (along-track) must measured accurately and at a high rate to reduce cumulative errors. Cross-track errors are typically the major source of positioning errors and in order to achieve, say, a 1m/km horizontal position error performance heading must be kept to an accuracy of better than 1mrad (0.05deg). 1.2 ZUP-aided Inertial Navigation The only sensors capable of aligning to and maintaining this level of heading accuracy are navigation-grade inertial sensors. Figure 2 shows the diagram for an aided-inertial portable navigator. It s a standard aidedinertial configuration with the nav-grade Inertial Measurement Unit (IMU) as the primary measurement sensor. Its unique feature is that the only aiding is provided by Zero-velocity Updates (ZUPs). GPS signals are used only for the initial alignment and to provide aiding when available. IMU Inertial data Inertial Navigator Navigator correction Blended navigation solution Error Controller Error state correction Estimated errors GPS Kalman Filter GPS data PCS ZUP Figure 2. GPS-denied, ZUP-aided inertial navigation 23-2 RTO-MP-SET-104

1.3 Implementation A ZUP-aided inertial system, the POS LS, was originally developed by Applanix in 2001. The backpackportable system was developed for land seismic applications and weighed over 40lbs (Figure 3, left). Current implementations of the system are vest-mounted and weigh in at just under 12lbs. The Ring-Laser Gyro (RLG) IMU (Figure 3, middle) provides the incremental velocities and angles to the processor (Figure 3, right with the batteries) Figure 3. POS LS (left) and GPS-Denied Navigation and Mapping system (centre and right) 1.4 Operation System initialization (alignment) takes 10-20min in mid-latitudes depending on the desired accuracy. Following alignment the operator can walk, run, crawl, ride on a vehicle but must perform periodic ZUPs, every 1 to 4 min for 5 to 10sec depending again on the desired accuracy. ZUP start and end notification is provided automatically by the handheld controller (Figure 3). In addition to ZUP notification the controller provides waypoint navigation and other functions depending on the operational scenario. 1.5 Performance System performance was evaluated outdoors along a straight 1.5km North-South path using cm-level accuracy RTK GPS (Figure 4). The maximum real-time horizontal error was less than m. Vertical errors are about half of horizontal (m) and post-processed is again half of real-time. This exceptional level of performance is necessary in order to maintain positioning accuracy during missions extending over several hours. RTO-MP-SET-104 23-3

horizontal vertical 1.5 1.3 Comparison with GPS during ZUPTS 1.5 1.3 real-time post-processed METERS METERS 0.9 0.7 0.3 Alignment 0.1-0.1 Backpack Navigation Straight line trajectory, north to south -0.3 Distance = 1.47 Km 1.47 Km travelled - -0.7-0.9 - -1.3-1.5 326000 326500 327000 327500 328000 328500 329000 329500 330000 330500 TIME 1.5 1.3 0.9 0.7 0.3 0.1-0.1-0.3 1.47 Km travelled - -0.7-0.9 - -1.3 METERS METERS 0.9 Comparison with GPS during ZUPTS 0.7 1.47 Km travelled 0.3 0.1-0.1-0.3 - -0.7-0.9 - -1.3-1.5 326000 326500 327000 327500 328000 328500 329000 329500 330000 330500 TIME 1.5 1.3 0.9 0.7 0.3 0.1-0.1-0.3 1.47 Km travelled - -0.7-0.9 - -1.3. -1.5 326000 326500 327000 327500 328000 328500 329000 329500 330000 330500 TIME m RT H V -1.5 PP 326000 326500 327000 327500 328000 328500 329000 329500 330000 330500 0.15 TIME Figure 4. Real-time and post-processed horizontal and vertical performance 1.6 Inertial Navigation Applications The ZUP-aided system described in Figure 2 provides full six-degree position and orientation measurements derived solely from motion dynamics. As a result, the system operates without any infrastructure support: No GPS, RF, magnetic, barometric or map aiding is required. It can be operated in virtually every environment accessible by humans or robots and under virtually all dynamics experienced on these platforms. By virtue of the navigation grade sensors used, orientation accuracy is maintained over extended periods and the system can navigate accurately over several hours. The high cost of these sensors presently limits the use of these systems to navigation applications where no other sensors are capable of meeting the stringent requirements for extended, high-accuracy missions in infrastructure-less and potentially hostile environments. These environments include silos, caves, nuclear facilities and moving or docked ships. 2.0 GPS-DENIED MAPPING USING AIDED INERTIAL As opposed to the specialized missions described in the previous section, the vast majority of in-building operations are carried out in known and established facilities. An in-building positioning system provides limited information regarding the location of the operator within these facilities unless accompanied by an accurate and up-to-date building map. Existing as-builts and blueprints are often inaccurate and out of date. The GPS-denied navigation system described in the previous section can be augmented with an imaging sensor to provide accurate, low-cost in-building photomaps of virtually any facility. 23-4 RTO-MP-SET-104

The diagram in Figure 5 is the ZUP-aided system of Figure 1 augmented with the addition of an active or passive, imaging sensor and a suite of post-mission software modules for georeferencing, visualization and CAD conversion. Accurate georeferencing of the images is possible by using the accurate position/orientation measurements and by extracting depth from consecutive image sequences. The GeoImage software selects image features and extracts depth from a sequence of frames containing this feature. The result is a fully georeferenced video of the building s insides. Real-Time Post-Mission: GeoImage Imaging Sensor(s) Camera 'Image' Data LIdar Sonar Post-mission s/w Photmap IMU Inertial data Inertial Navigator Navigator correction x, y, z, and pitch roll heading Error Controller Depth Error state correction Estimated errors GPS Kalman Filter Photo-map to CAD GPS data Aided-Inertial DMI Visualization Suite ZUP Figure 5. Aided-inertial in-building mapping system RTO-MP-SET-104 23-5

2.2 Portable, in-building Mapping A portable in-building mapping system is shown in Figure 6. Figure 6. In-building mapping prototype: Backpack, camera and vehicle version. It consists of the aided-inertial components (IMU, processor and batteries) and an eleven-sensor camera (the dodecahedron ) mounted on a backpack for a near 360 0 view. The location of the camera provides a natural view of the traversed surroundings. The system is operated in the same simple manner as the navigation system: Align, walk and ZUP. By virtue of the fact that once aligned the system can provide indoor position/orientation measurements for several hours without the need for alignment, GPS or any infrastructure translates into a high production rate and significant cost benefit. The high-accuracy of the geo-referenced interior data permits their seamless integration with air/land photomaps of the building s exterior to produce complete facility maps. Applications of such facility maps include support for public safety operations and indoor asset management. 2.3 Facility Maps High risk public safety operations are often in large, established facilities. These include government, financial, nuclear and educational facilities. Photomaps of these facilities can be used for first responder training, mission planning and in combination with a low-cost in-building positioning system to provide precise in-building location and full situational awareness. A facility map video combining indoor and outdoor photomaps of Canadian Forces Based (CFB) Gagetown (Figure 7) will be shown during the presentation. 23-6 RTO-MP-SET-104

Figure 7.CFB Gagetown. 3.0 CONCLUSIONS Portable, aided-inertial systems using navigation grade IMU are capable of navigating without any infrastructure support. Unaffected by motion dynamics and operating environment they are capable of precision navigation over several hours in virtually any area accessible by humans. Uniquely suited to special operations missions they are used to map and navigate in caves, silos, nuclear facilities and ships. The range of their application is presently limited, however, by the high cost of the IMU. Portable aided-inertial systems augmented with an imaging sensor can be used to accurately and efficiently map building interiors. Interior photomaps can be combined with georeferenced images of the building s exteriors to generate complete facility maps. Due to the efficiency of the data collection process the cost of facility map data can be relatively low. Facility maps can be used by public safety crews and military for first responder training, mission planning and in conjunction with in-building positioning systems to translate realtime operator positions to precise in-building locations. RTO-MP-SET-104 23-7

23-8 RTO-MP-SET-104