CONTENT ENGINEERING & VISION LABORATORY. Régis Vinciguerra

Size: px
Start display at page:

Download "CONTENT ENGINEERING & VISION LABORATORY. Régis Vinciguerra"

Transcription

1 CONTENT ENGINEERING & VISION LABORATORY Régis Vinciguerra

2 ALTERNATIVE ENERGIES AND ATOMIC ENERGY COMMISSION Military Applications Division (DAM) Nuclear Energy Division (DEN) Technological Research Division (DRT) Materials Sciences Division Life Sciences Division Mission DAM : France s national security independence Mission DEN : France s energy independence Mission DRT : French business economic competitiveness 2

3 CEA TECH: A WIDE OFFER OF KEY ENABLING TECHNOLOGIES Laboratory of Electronics and Information Technologies Laboratory of Integrated Systems and Technologies Laboratoty of Innovation for new Technologies for Energy and Nanomaterial Solar 3

4 Laboratoire Vision & Ingénierie des Contenus Computer Vision & Natural Language Processing Scene Understanding 3D Perception & Mobility Localisation Augmented Reality Detection/tracking and activity analysis Multimedia Semantic Analysis Text / Image +80 researchers & engineers on projects + 15 PhD students +50 publications / year +30 active patents

5 3D Perception & Mobility Real-time Localisation and Environment perception Augmented Reality Indoor/outdoor geo-localisation Industrial control

6 RESEARCH ACTIVITIES Augmented Reality 3D Localisation & Mapping 3D Reconstruction 3D Control & Manufacturing Material Segmentation Scene Illumination Analysis Diminished Reality

7 RESEARCH ACTIVITIES Augmented Reality 3D Localisation & Mapping 3D Reconstruction 3D Control & Manufacturing Material Segmentation Scene Illumination Analysis Diminished Reality

8 AUGMENTED REALITY APPLICATIONS Marketing Real Time Visual Registration Technologies Navigation Training Industrial maintenance

9 AUGMENTED REALITY APPLICATIONS: 2 main kinds Augmented Objects Augmented Environnements

10 AUGMENTED REALITY & DISPLAYS AR Glasses Concept Lab prototype Transparent screens HUD - Towards full windscreen

11 DIOTA: Industrial Partner For Augmented Reality Applications Projective AR AR software solution AR on tablet PAGE 11

12 RESEARCH ACTIVITIES Augmented Reality 3D Localization & Mapping 3D Reconstruction 3D Control & Manufacturing Material Segmentation Scene Illumination Analysis Diminished Reality

13 GUIDANCE Indoor - Indoor Guidance - Mobile Robots - Outdoor - Autonomous vehicles - Pedestrian Guidance - PAGE 13

14 LOCALIZATION BY MULTI-SENSOR FUSION SENSORS Camera: mono, stereo, RGB-D GPS IMU Odometry Lidar

15 CAR GUIDANCE

16 CONNECTRAM Augmented Reality in TRAMWAY Concept Realization Prototype

17 RESEARCH ACTIVITIES Augmented Reality 3D Localisation & Mapping 3D Reconstruction 3D Control & Manufacturing Material Segmentation Scene Illumination Analysis Diminished Reality

18 3D RECONSTRUCTION - Low-cost or wearable systems for 3D Scene Modeling Stereovision Multicaméras Sensor fusion PAGE 18

19 Market Principle Product 3D RECONSTRUCTION A consumer hardware & software product 1 or n camera/sensors Carried or Remote Dedicated to the Virtual Reality market 4+ bracelets/anklets PAGE 19

20 MODÉLISATION DU VIVANT Automatic Physiological Parameters measures

21 RESEARCH ACTIVITIES Augmented Reality 3D Localisation & Mapping 3D Reconstruction 3D Control & Manufacturing Material Segmentation Scene Illumination Analysis Diminished Reality

22 3D CONTROL & MANUFACTURING Defects Detection Measured features : holes, curved edges Automatic CAD Registration Bin Picking PAGE 22

23 3D CONTROL & MANUFACTURING 3D Multispectral Real-Time Vision sensor for Robotics & Industries Fast & Accurate 3D Vision solution: Up to 4 3D-frames per second Depth resolution up to cm Robustness with reflecting objects Multispectral data Useful for material identification applications, True Color Numerisation ( independent from ambient light) PAGE 23

24 RESEARCH ACTIVITIES Augmented Reality 3D Localisation & Mapping 3D Reconstruction 3D Control & Manufacturing Material Segmentation Scene Illumination Analysis Diminished Reality

25 MATERIAL IDENTIFICATION Multispectral cameras better material segmentation in images Brick Concrete Metal (aluminium) Wood PVC Rust Plaster 3D Rust Detection PAGE 25

26 RESEARCH ACTIVITIES Augmented Reality 3D Localisation & Mapping 3D Reconstruction 3D Control & Manufacturing Material Segmentation Scene Illumination Analysis Diminished Reality

27 SCENE ILLUMINATION ANALYSIS Shadows Detection Robustness to Light Changes Realism of Scene Augmentations Specularities Segmentation PAGE 27

28 SCENE ILLUMINATION ANALYSIS Input video Retexturing PAGE 28

29 RESEARCH ACTIVITIES Augmented Reality 3D Localisation & Mapping 3D Reconstruction 3D Control & Manufacturing Material Segmentation Scene Illumination Analysis Diminished Reality

30 DIMINISHED REALITY Toward a full concept Reality Diminished Reality Augmented Reality PAGE 30

31 Scene Understanding Videoprotection & Video Assistance Infrastructure Security Driving assistance Smart Home / Smart building /Smart City

32 IMAGE ANALYSIS DETECTION, TRACKING, RECOGNITION Generic algorithms Various sensors (Visible, IR, IR/Visible, Fish-eye, PTZ ) Various Contexts (indoor, outdoor, broadcast) Fixed or Embedded Urban Transportation Infrastructure Automotive Building Manufacturing Smart Home

33 DEEP LEARNING MULTI-CLASS AND PRECISION Challenge KITTI : Automatic 3D Analysis of Vehicles (1) Vehicle detection (2) Type recognition (3) Fine pose estimation (4) 3D location (5) Visibility of parts CEA APPROACH : DEEP MANTA 1st on detection and orientation estimation Close to Real time (3 Hz on VGA) Accuracy +30% vs Sota, similar to stereo approach

34 FACE RECOGNITION REAL TIME FACE DETECTION FACE VERIFICATION: Examples of match pairs

35 Deep Learning for Face Recognition (2016) Face detection & alignment Deep Multi-Task Multi-Scale Cascaded Neural Network Feature extraction Deep Metric Learning from Tiplet Network Video query Authorized access! Face Recognition Verification: is that face of a given people? Retrieval: similar faces ranked according to learned metric face features (1792-dim) projected in 3-D space Image query ranking of faces This is!

36 SECURITY: VIDEOPROTECTION Real-time Analytics Camera Network & 3D Display Operated in VisionLab Behaviour Analysis Perf Evaluation

37 SAFETY: PEDESTRIAN DETECTION BLAXTAIR : Embedded Vision System to enhance safety in critical industrial contexts Thesis Collaborative Projects Arcure creation Joint Lab CEA/Arcure 1st prototype BLAXTAIR Vehicle Rotation Large Zone Close FOV Variable Posture Non-planar ground Obstacle segmentation TECHNOLOGY POSITIONNING Robust 2D/3D analysis : TP= 99 %, FA= 1/jour Learning on specific image database : positives > 1 million negatives Real time: 15 Hz (2 cœurs ARM) 5 patents

38 SAFETY : VISION SYSTEM FOR PEOPLE DETECTION Obstacle Detection Lidar/ IR bareer People Classification Blaxtair / IR Video SICK

39 AMBIANT LIVING Eating Setting the table Vulnerable people Activity Recognition Applications Safety Security Energy Comfort IHM Sensor fusion Camera IR detector Home sensing Platform MobileMii TV Control

40 Multimedia Semantic Analysis of Text, Image, Video Extraction Synthesis Retrieval

41 EXTRACTION D INFORMATION : IMAGES

42 EXTRACTION D INFORMATION : TEXTES Cherchons Lemme Racine chercher cherch

43 VISION AND CONTENT ENGINEERING LAB CEA List/LVIC 70 researchers 15 PhD students 3D Perception Augmented Reality 3D Localization Scene Understanding Surveillance systems Assistance systems Multimedia fusion Information retrieval Synthesis

44 JOB OPPORTUNITIES We are recruiting! Our lab recruts non permanent researchers & engineers almost thoughout whole the year Main research domains: Computer Vision Deep Learning Sensor Fusion (mainly Vision/IMU) (Common minimal skill: C++) Main Contact: Other contacts: 3D Perception & Mobility: Scene Understanding: Multimedia fusion:

VISION FOR AUTOMOTIVE DRIVING

VISION FOR AUTOMOTIVE DRIVING VISION FOR AUTOMOTIVE DRIVING French Japanese Workshop on Deep Learning & AI, Paris, October 25th, 2017 Quoc Cuong PHAM, PhD Vision and Content Engineering Lab AI & MACHINE LEARNING FOR ADAS AND SELF-DRIVING

More information

W4. Perception & Situation Awareness & Decision making

W4. Perception & Situation Awareness & Decision making W4. Perception & Situation Awareness & Decision making Robot Perception for Dynamic environments: Outline & DP-Grids concept Dynamic Probabilistic Grids Bayesian Occupancy Filter concept Dynamic Probabilistic

More information

Laser-Camera systems and algorithms to sense the environment for robotic applications

Laser-Camera systems and algorithms to sense the environment for robotic applications The research project: FP7-People-Marie Curie- COFUND-Trentino-post-doc 2009 - Incoming Laser-Camera systems and algorithms to sense the environment for robotic applications Presenter: Dr. Ilya Afanasyev

More information

Creating Affordable and Reliable Autonomous Vehicle Systems

Creating Affordable and Reliable Autonomous Vehicle Systems Creating Affordable and Reliable Autonomous Vehicle Systems Shaoshan Liu shaoshan.liu@perceptin.io Autonomous Driving Localization Most crucial task of autonomous driving Solutions: GNSS but withvariations,

More information

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

Sensor Fusion: Potential, Challenges and Applications. Presented by KVH Industries and Geodetics, Inc. December 2016 Sensor Fusion: Potential, Challenges and Applications Presented by KVH Industries and Geodetics, Inc. December 2016 1 KVH Industries Overview Innovative technology company 600 employees worldwide Focused

More information

PMD [vision] Day Vol. 3 Munich, November 18, PMD Cameras for Automotive & Outdoor Applications. ifm electronic gmbh, V.Frey. Dr.

PMD [vision] Day Vol. 3 Munich, November 18, PMD Cameras for Automotive & Outdoor Applications. ifm electronic gmbh, V.Frey. Dr. R PMD [vision] Day Vol. 3 Munich, November 18, 2010 Dr. Volker Frey ifm electronic gmbh PMD Cameras for Automotive & Outdoor Applications Stand: 27.10.2010 Seite 1 I Working Principle PMD distance measurement

More information

Turning an Automated System into an Autonomous system using Model-Based Design Autonomous Tech Conference 2018

Turning an Automated System into an Autonomous system using Model-Based Design Autonomous Tech Conference 2018 Turning an Automated System into an Autonomous system using Model-Based Design Autonomous Tech Conference 2018 Asaf Moses Systematics Ltd., Technical Product Manager aviasafm@systematics.co.il 1 Autonomous

More information

Towards Autonomous Vehicle. What is an autonomous vehicle? Vehicle driving on its own with zero mistakes How? Using sensors

Towards Autonomous Vehicle. What is an autonomous vehicle? Vehicle driving on its own with zero mistakes How? Using sensors 7 May 2017 Disclaimer Towards Autonomous Vehicle What is an autonomous vehicle? Vehicle driving on its own with zero mistakes How? Using sensors Why Vision Sensors? Humans use both eyes as main sense

More information

INTERNET OF BIG THINGS : SMART INFRASTRUCTURES FOR IMPROVED MOBILITY. Sarah WELDON

INTERNET OF BIG THINGS : SMART INFRASTRUCTURES FOR IMPROVED MOBILITY. Sarah WELDON INTERNET OF BIG THINGS : SMART INFRASTRUCTURES FOR IMPROVED MOBILITY Sarah WELDON sarah.weldon@cea.fr LETI : ONE OF CEA TECH'S 3 RESEARCH INSTITUTES 16,000 CEA employees worldwide 10 % PhDs and post-docs

More information

Towards Fully-automated Driving. tue-mps.org. Challenges and Potential Solutions. Dr. Gijs Dubbelman Mobile Perception Systems EE-SPS/VCA

Towards Fully-automated Driving. tue-mps.org. Challenges and Potential Solutions. Dr. Gijs Dubbelman Mobile Perception Systems EE-SPS/VCA Towards Fully-automated Driving Challenges and Potential Solutions Dr. Gijs Dubbelman Mobile Perception Systems EE-SPS/VCA Mobile Perception Systems 6 PhDs, 1 postdoc, 1 project manager, 2 software engineers

More information

Training models for road scene understanding with automated ground truth Dan Levi

Training models for road scene understanding with automated ground truth Dan Levi Training models for road scene understanding with automated ground truth Dan Levi With: Noa Garnett, Ethan Fetaya, Shai Silberstein, Rafi Cohen, Shaul Oron, Uri Verner, Ariel Ayash, Kobi Horn, Vlad Golder,

More information

Visual Perception for Robots

Visual Perception for Robots Visual Perception for Robots Sven Behnke Computer Science Institute VI Autonomous Intelligent Systems Our Cognitive Robots Complete systems for example scenarios Equipped with rich sensors Flying robot

More information

Autonomous navigation in industrial cluttered environments using embedded stereo-vision

Autonomous navigation in industrial cluttered environments using embedded stereo-vision Autonomous navigation in industrial cluttered environments using embedded stereo-vision Julien Marzat ONERA Palaiseau Aerial Robotics workshop, Paris, 8-9 March 2017 1 Copernic Lab (ONERA Palaiseau) Research

More information

Why the Self-Driving Revolution Hinges on one Enabling Technology: LiDAR

Why the Self-Driving Revolution Hinges on one Enabling Technology: LiDAR Why the Self-Driving Revolution Hinges on one Enabling Technology: LiDAR Markus Prison Director Business Development Europe Quanergy ID: 23328 Who We Are The leader in LiDAR (laser-based 3D spatial sensor)

More information

GNSS Multipath Signals: Mitigation or Constructive Use for Robust Navigation in Urban Canyons?

GNSS Multipath Signals: Mitigation or Constructive Use for Robust Navigation in Urban Canyons? Space Reflecto 2013, Brest, 04 November 2013 GNSS Multipath Signals: Mitigation or Constructive Use for Robust Navigation in Urban Canyons? Mohamed SAHMOUDI 1,2 1 ISAE, University of Toulouse, France 2

More information

Vodafone 5G Trial for the metropolitan area of Milano

Vodafone 5G Trial for the metropolitan area of Milano Vodafone 5G Trial for the metropolitan area of Milano Sabrina Baggioni 5G Program Director, Vodafone Italia Politecnico di Milano, 10 Luglio 2018 Why Vodafone at an International Conference for Automotive?

More information

What is computer vision?

What is computer vision? What is computer vision? Computer vision (image understanding) is a discipline that studies how to reconstruct, interpret and understand a 3D scene from its 2D images in terms of the properties of the

More information

Pervasive Computing. OpenLab Jan 14 04pm L Institute of Networked and Embedded Systems

Pervasive Computing. OpenLab Jan 14 04pm L Institute of Networked and Embedded Systems Pervasive Computing Institute of Networked and Embedded Systems OpenLab 2010 Jan 14 04pm L4.1.01 MISSION STATEMENT Founded in 2007, the Pervasive Computing Group at Klagenfurt University is part of the

More information

Connected Car. Dr. Sania Irwin. Head of Systems & Applications May 27, Nokia Solutions and Networks 2014 For internal use

Connected Car. Dr. Sania Irwin. Head of Systems & Applications May 27, Nokia Solutions and Networks 2014 For internal use Connected Car Dr. Sania Irwin Head of Systems & Applications May 27, 2015 1 Nokia Solutions and Networks 2014 For internal use Agenda Introduction Industry Landscape Industry Architecture & Implications

More information

USE CASES BROADBAND AND MEDIA EVERYWHERE SMART VEHICLES, TRANSPORT CRITICAL SERVICES AND INFRASTRUCTURE CONTROL CRITICAL CONTROL OF REMOTE DEVICES

USE CASES BROADBAND AND MEDIA EVERYWHERE SMART VEHICLES, TRANSPORT CRITICAL SERVICES AND INFRASTRUCTURE CONTROL CRITICAL CONTROL OF REMOTE DEVICES 5g Use Cases BROADBAND AND MEDIA EVERYWHERE 5g USE CASES SMART VEHICLES, TRANSPORT CRITICAL SERVICES AND INFRASTRUCTURE CONTROL CRITICAL CONTROL OF REMOTE DEVICES HUMAN MACHINE INTERACTION SENSOR NETWORKS

More information

Computer STMicroelectronics. Competencies and Advanced Research Topics

Computer STMicroelectronics. Competencies and Advanced Research Topics Computer Vision @ STMicroelectronics Competencies and Advanced Research Topics Alessandro Capra (alessandro.capra@st.com) Mirko Guarnera (mirko.guarnera@st.com) AST SI Computer Vision Platform UniCT DMI

More information

Training models for road scene understanding with automated ground truth Dan Levi

Training models for road scene understanding with automated ground truth Dan Levi Training models for road scene understanding with automated ground truth Dan Levi With: Noa Garnett, Ethan Fetaya, Shai Silberstein, Rafi Cohen, Shaul Oron, Uri Verner, Ariel Ayash, Kobi Horn, Vlad Golder

More information

MODAInnovations Complete Academic Project Solutions

MODAInnovations Complete Academic Project Solutions MODAInnovations Complete Academic Project Solutions 9538304161 www.modainnovations.com modainnovations@gmail.com ECE PROJECTS S NO 1 2 3 4 Project Title A Low Cost Web Based Remote System With Built-In

More information

Neue Verfahren der Bildverarbeitung auch zur Erfassung von Schäden in Abwasserkanälen?

Neue Verfahren der Bildverarbeitung auch zur Erfassung von Schäden in Abwasserkanälen? Neue Verfahren der Bildverarbeitung auch zur Erfassung von Schäden in Abwasserkanälen? Fraunhofer HHI 13.07.2017 1 Fraunhofer-Gesellschaft Fraunhofer is Europe s largest organization for applied research.

More information

LAUROPE Six Legged Walking Robot for Planetary Exploration participating in the SpaceBot Cup

LAUROPE Six Legged Walking Robot for Planetary Exploration participating in the SpaceBot Cup FZI RESEARCH CENTER FOR INFORMATION TECHNOLOGY LAUROPE Six Legged Walking Robot for Planetary Exploration participating in the SpaceBot Cup ASTRA 2015, ESA/ESTEC, Noordwijk 12. Mai 2015 Outline SpaceBot

More information

Designing a Pick and Place Robotics Application Using MATLAB and Simulink

Designing a Pick and Place Robotics Application Using MATLAB and Simulink Designing a Pick and Place Robotics Application Using MATLAB and Simulink Carlos Santacruz-Rosero, PhD Sr Application Engineer Robotics Pulkit Kapur Sr Industry Marketing Manager Robotics 2017 The MathWorks,

More information

3D shape and curvature measurement for increased process stability and reliable quality

3D shape and curvature measurement for increased process stability and reliable quality 3D measurement technologies are the key to success in glass production 3D shape and curvature measurement for increased process stability and reliable quality Automated 3D measurement technologies are

More information

Innovative M-Tech projects list

Innovative M-Tech projects list 1 Technologies: Innovative M-Tech projects list 1. ARM-7 TDMI - LPC-2148 2. Image Processing 3. MATLAB Embedded 4. GPRS Mobile internet 5. Touch screen. IEEE 2012-13 papers 6. Global Positioning System

More information

Presented at the FIG Congress 2018, May 6-11, 2018 in Istanbul, Turkey

Presented at the FIG Congress 2018, May 6-11, 2018 in Istanbul, Turkey Presented at the FIG Congress 2018, May 6-11, 2018 in Istanbul, Turkey Evangelos MALTEZOS, Charalabos IOANNIDIS, Anastasios DOULAMIS and Nikolaos DOULAMIS Laboratory of Photogrammetry, School of Rural

More information

3D Time-of-Flight Image Sensor Solutions for Mobile Devices

3D Time-of-Flight Image Sensor Solutions for Mobile Devices 3D Time-of-Flight Image Sensor Solutions for Mobile Devices SEMICON Europa 2015 Imaging Conference Bernd Buxbaum 2015 pmdtechnologies gmbh c o n f i d e n t i a l Content Introduction Motivation for 3D

More information

Dense Tracking and Mapping for Autonomous Quadrocopters. Jürgen Sturm

Dense Tracking and Mapping for Autonomous Quadrocopters. Jürgen Sturm Computer Vision Group Prof. Daniel Cremers Dense Tracking and Mapping for Autonomous Quadrocopters Jürgen Sturm Joint work with Frank Steinbrücker, Jakob Engel, Christian Kerl, Erik Bylow, and Daniel Cremers

More information

H2020 Space Robotic SRC- OG4

H2020 Space Robotic SRC- OG4 H2020 Space Robotic SRC- OG4 2 nd PERASPERA workshop Presentation by Sabrina Andiappane Thales Alenia Space France This project has received funding from the European Union s Horizon 2020 research and

More information

Mobile Mapping and Navigation. Brad Kohlmeyer NAVTEQ Research

Mobile Mapping and Navigation. Brad Kohlmeyer NAVTEQ Research Mobile Mapping and Navigation Brad Kohlmeyer NAVTEQ Research Mobile Mapping & Navigation Markets Automotive Enterprise Internet & Wireless Mobile Devices 2 Local Knowledge & Presence Used to Create Most

More information

Emerging Vision Technologies: Enabling a New Era of Intelligent Devices

Emerging Vision Technologies: Enabling a New Era of Intelligent Devices Emerging Vision Technologies: Enabling a New Era of Intelligent Devices Computer vision overview Computer vision is being integrated in our daily lives Acquiring, processing, and understanding visual data

More information

t Bench for Robotics and Autonomy Andrea Merlo

t Bench for Robotics and Autonomy Andrea Merlo t Bench for Robotics and Autonomy Andrea Merlo Agenda Introduction TBRA Overview Objectives Architecture / Technical Description Status Test Results Roadmap he context of a Rover, dance, Navigation and

More information

Stable Vision-Aided Navigation for Large-Area Augmented Reality

Stable Vision-Aided Navigation for Large-Area Augmented Reality Stable Vision-Aided Navigation for Large-Area Augmented Reality Taragay Oskiper, Han-Pang Chiu, Zhiwei Zhu Supun Samarasekera, Rakesh Teddy Kumar Vision and Robotics Laboratory SRI-International Sarnoff,

More information

Are you looking for ultrafast and extremely precise stereovision technology for industrial applications? Learn about

Are you looking for ultrafast and extremely precise stereovision technology for industrial applications? Learn about Edition November 2017 Image sensors and vision systems, Smart Industries, imec.engineering Are you looking for ultrafast and extremely precise stereovision technology for industrial applications? Learn

More information

Detecting the Unexpected: The Path to Road Obstacles Prevention in Autonomous Driving

Detecting the Unexpected: The Path to Road Obstacles Prevention in Autonomous Driving Detecting the Unexpected: The Path to Road Obstacles Prevention in Autonomous Driving Shmoolik Mangan, PhD Algorithms Development Manager, VAYAVISION AutonomousTech TLV Israel 2018 VAYAVISION s approach

More information

Flexible Visual Inspection. IAS-13 Industrial Forum Horizon 2020 Dr. Eng. Stefano Tonello - CEO

Flexible Visual Inspection. IAS-13 Industrial Forum Horizon 2020 Dr. Eng. Stefano Tonello - CEO Flexible Visual Inspection IAS-13 Industrial Forum Horizon 2020 Dr. Eng. Stefano Tonello - CEO IT+Robotics Spin-off of University of Padua founded in 2005 Strong relationship with IAS-LAB (Intelligent

More information

Parallel Scheduling for Cyber-Physical Systems: Analysis and Case Study on a Self-Driving Car

Parallel Scheduling for Cyber-Physical Systems: Analysis and Case Study on a Self-Driving Car Parallel Scheduling for Cyber-Physical Systems: Analysis and Case Study on a Self-Driving Car Junsung Kim, Hyoseung Kim, Karthik Lakshmanan and Raj Rajkumar Carnegie Mellon University Google 2 CMU s Autonomous

More information

Vehicle Localization. Hannah Rae Kerner 21 April 2015

Vehicle Localization. Hannah Rae Kerner 21 April 2015 Vehicle Localization Hannah Rae Kerner 21 April 2015 Spotted in Mtn View: Google Car Why precision localization? in order for a robot to follow a road, it needs to know where the road is to stay in a particular

More information

Photoneo's brand new PhoXi 3D Camera is the highest resolution and highest accuracy area based 3D

Photoneo's brand new PhoXi 3D Camera is the highest resolution and highest accuracy area based 3D Company: Photoneo s.r.o. Germany Contact: Veronika Pulisova E-mail: pulisova@photoneo.com PhoXi 3D Camera Author: Tomas Kovacovsky & Jan Zizka Description of the innovation: General description Photoneo's

More information

Advanced Driver Assistance Systems: A Cost-Effective Implementation of the Forward Collision Warning Module

Advanced Driver Assistance Systems: A Cost-Effective Implementation of the Forward Collision Warning Module Advanced Driver Assistance Systems: A Cost-Effective Implementation of the Forward Collision Warning Module www.lnttechservices.com Table of Contents Abstract 03 Introduction 03 Solution Overview 03 Output

More information

3D Vision System. Vision for Your Automation

3D Vision System. Vision for Your Automation 3D Vision System Vision for Your Automation Experience and Innovation 2003 2006 2009 2012 2014 2015 2016 3D robot guidance 3D robot guidance Complete range of software for 3D 3D robot guidance Launching

More information

Solid State LiDAR for Ubiquitous 3D Sensing

Solid State LiDAR for Ubiquitous 3D Sensing April 6, 2016 Solid State LiDAR for Ubiquitous 3D Sensing Louay Eldada, Ph.D. CEO, Co-founder Quanergy Systems New Paradigm in 3D Sensing Disruptive Technologies: Solid State 3D LiDAR sensors Embedded

More information

3D Fusion of Infrared Images with Dense RGB Reconstruction from Multiple Views - with Application to Fire-fighting Robots

3D Fusion of Infrared Images with Dense RGB Reconstruction from Multiple Views - with Application to Fire-fighting Robots 3D Fusion of Infrared Images with Dense RGB Reconstruction from Multiple Views - with Application to Fire-fighting Robots Yuncong Chen 1 and Will Warren 2 1 Department of Computer Science and Engineering,

More information

Advanced Vision Guided Robotics. David Bruce Engineering Manager FANUC America Corporation

Advanced Vision Guided Robotics. David Bruce Engineering Manager FANUC America Corporation Advanced Vision Guided Robotics David Bruce Engineering Manager FANUC America Corporation Traditional Vision vs. Vision based Robot Guidance Traditional Machine Vision Determine if a product passes or

More information

TorontoCity: Seeing the World with a Million Eyes

TorontoCity: Seeing the World with a Million Eyes TorontoCity: Seeing the World with a Million Eyes Authors Shenlong Wang, Min Bai, Gellert Mattyus, Hang Chu, Wenjie Luo, Bin Yang Justin Liang, Joel Cheverie, Sanja Fidler, Raquel Urtasun * Project Completed

More information

Camera Registration in a 3D City Model. Min Ding CS294-6 Final Presentation Dec 13, 2006

Camera Registration in a 3D City Model. Min Ding CS294-6 Final Presentation Dec 13, 2006 Camera Registration in a 3D City Model Min Ding CS294-6 Final Presentation Dec 13, 2006 Goal: Reconstruct 3D city model usable for virtual walk- and fly-throughs Virtual reality Urban planning Simulation

More information

COMPUTER VISION. Dr. Sukhendu Das Deptt. of Computer Science and Engg., IIT Madras, Chennai

COMPUTER VISION. Dr. Sukhendu Das Deptt. of Computer Science and Engg., IIT Madras, Chennai COMPUTER VISION Dr. Sukhendu Das Deptt. of Computer Science and Engg., IIT Madras, Chennai 600036. Email: sdas@iitm.ac.in URL: //www.cs.iitm.ernet.in/~sdas 1 INTRODUCTION 2 Human Vision System (HVS) Vs.

More information

Learning Semantic Environment Perception for Cognitive Robots

Learning Semantic Environment Perception for Cognitive Robots Learning Semantic Environment Perception for Cognitive Robots Sven Behnke University of Bonn, Germany Computer Science Institute VI Autonomous Intelligent Systems Some of Our Cognitive Robots Equipped

More information

Korea Autonomous Vehicle Contest 2013

Korea Autonomous Vehicle Contest 2013 Korea Autonomous Vehicle Contest 2013 Smart Mobility Team (RTOS Lab. & Dyros Lab.) Graduate School of Convergence Science and Technology Seoul National University Page 1 Contents 1. Contest Information

More information

ECE 1161/2161 Embedded Computer System Design 2. Introduction. Wei Gao. Spring

ECE 1161/2161 Embedded Computer System Design 2. Introduction. Wei Gao. Spring ECE 1161/2161 Embedded Computer System Design 2 Introduction Wei Gao Spring 2018 1 Course Information Class time: 4:30pm 5:45pm TuTh Instructor: Wei Gao, weigao@pitt.edu Office: 1205 Benedum Office hour:

More information

A Repository Of Sensor Data For Autonomous Driving Research

A Repository Of Sensor Data For Autonomous Driving Research A Repository Of Sensor Data For Autonomous Driving Research Michael Shneier, Tommy Chang, Tsai Hong, Gerry Cheok, Harry Scott, Steve Legowik, Alan Lytle National Institute of Standards and Technology 100

More information

Camera Calibration for a Robust Omni-directional Photogrammetry System

Camera Calibration for a Robust Omni-directional Photogrammetry System Camera Calibration for a Robust Omni-directional Photogrammetry System Fuad Khan 1, Michael Chapman 2, Jonathan Li 3 1 Immersive Media Corporation Calgary, Alberta, Canada 2 Ryerson University Toronto,

More information

EURITRACK Workshop. Session 2 : Industrial and academic views. CEA LIST vision. R. Cammoun

EURITRACK Workshop. Session 2 : Industrial and academic views. CEA LIST vision. R. Cammoun EURITRACK Workshop Session 2 : Industrial and academic views CEA LIST vision R. Cammoun riadh.cammoun@cea.fr A French government-funded technological research organisation A prominent player in the European

More information

Visual Recognition and Search April 18, 2008 Joo Hyun Kim

Visual Recognition and Search April 18, 2008 Joo Hyun Kim Visual Recognition and Search April 18, 2008 Joo Hyun Kim Introduction Suppose a stranger in downtown with a tour guide book?? Austin, TX 2 Introduction Look at guide What s this? Found Name of place Where

More information

Collaborative Mapping with Streetlevel Images in the Wild. Yubin Kuang Co-founder and Computer Vision Lead

Collaborative Mapping with Streetlevel Images in the Wild. Yubin Kuang Co-founder and Computer Vision Lead Collaborative Mapping with Streetlevel Images in the Wild Yubin Kuang Co-founder and Computer Vision Lead Mapillary Mapillary is a street-level imagery platform, powered by collaboration and computer vision.

More information

New Sony DepthSense TM ToF Technology

New Sony DepthSense TM ToF Technology ADVANCED MATERIAL HANDLING WITH New Sony DepthSense TM ToF Technology Jenson Chang Product Marketing November 7, 2018 1 3D SENSING APPLICATIONS Pick and Place Drones Collision Detection People Counting

More information

A probabilistic distribution approach for the classification of urban roads in complex environments

A probabilistic distribution approach for the classification of urban roads in complex environments A probabilistic distribution approach for the classification of urban roads in complex environments Giovani Bernardes Vitor 1,2, Alessandro Corrêa Victorino 1, Janito Vaqueiro Ferreira 2 1 Automatique,

More information

CogniSight, image recognition engine

CogniSight, image recognition engine CogniSight, image recognition engine Making sense of video and images Generating insights, meta data and decision Applications 2 Inspect, Sort Identify, Track Detect, Count Search, Tag Match, Compare Find,

More information

Human-Robot Interaction

Human-Robot Interaction Human-Robot Interaction Elective in Artificial Intelligence Lecture 6 Visual Perception Luca Iocchi DIAG, Sapienza University of Rome, Italy With contributions from D. D. Bloisi and A. Youssef Visual Perception

More information

SMART CITIES. The Gateway to a New India

SMART CITIES. The Gateway to a New India SMART CITIES The Gateway to a New India Contents Urban India A Changing Landscape Smart Cities Mission Spotlight on BSNL BSNL Presence in Smart Cities BSNL Case Studies India is experiencing Rapid Urbanization

More information

Development Progress and OEM Perspective of C-V2X in China

Development Progress and OEM Perspective of C-V2X in China Development Progress and OEM Perspective of C-V2X in China Dr. Xiang Dang (ABM) Deputy General Manager Research& Advanced Technology Department SAIC MOTOR 1 C-V2X Development Progress in China 2 OEM s

More information

A Whole New World of Mapping and Sensing: Uses from Asset to Management to In Vehicle Sensing for Collision Avoidance

A Whole New World of Mapping and Sensing: Uses from Asset to Management to In Vehicle Sensing for Collision Avoidance A Whole New World of Mapping and Sensing: Uses from Asset to Management to In Vehicle Sensing for Collision Avoidance Charles Toth, Dorota A Grejner-Brzezinska, Carla Bailo and Joanna Pinkerton Satellite

More information

IEEE PROJECTS ON EMBEDDED SYSTEMS

IEEE PROJECTS ON EMBEDDED SYSTEMS S.NO 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 PROJECT TITLES EMACS: Design And Implementation Of Indoor Environment Monitoring And Control System VOT-EL: Three Tier Secured State Of

More information

The Programmable World Opportunities and Challenges

The Programmable World Opportunities and Challenges The Programmable World Opportunities and Challenges Guillaume Mascot Head of Government Relations APJ & India March 2017 1 Nokia 2016 Megatrends are bringing the programmable world Network, compute & storage

More information

Pattern Recognition for Autonomous. Pattern Recognition for Autonomous. Driving. Freie Universität t Berlin. Raul Rojas

Pattern Recognition for Autonomous. Pattern Recognition for Autonomous. Driving. Freie Universität t Berlin. Raul Rojas Pattern Recognition for Autonomous Pattern Recognition for Autonomous Driving Raul Rojas Freie Universität t Berlin FU Berlin Berlin 3d model from Berlin Partner Freie Universitaet Berlin Outline of the

More information

NANOMETRIC LAB PRINTER. Plug & Play Solution for ultra-precise printing of conductive lines in nano-scale

NANOMETRIC LAB PRINTER. Plug & Play Solution for ultra-precise printing of conductive lines in nano-scale NANOMETRIC LAB PRINTER Plug & Play Solution for ultra-precise printing of conductive lines in nano-scale WHO ARE WE? WHAT IS OUR SOLUTION? XTPL S.A. is a company operating in the nanotechnology segment.

More information

All human beings desire to know. [...] sight, more than any other senses, gives us knowledge of things and clarifies many differences among them.

All human beings desire to know. [...] sight, more than any other senses, gives us knowledge of things and clarifies many differences among them. All human beings desire to know. [...] sight, more than any other senses, gives us knowledge of things and clarifies many differences among them. - Aristotle University of Texas at Arlington Introduction

More information

CHIST-ERA Projects Seminar Topic IUI

CHIST-ERA Projects Seminar Topic IUI CHIST-ERA Projects Seminar Topic IUI Heiko Schuldt, Alexey Andrushevich, Laurence Devillers (based on slides from S. Dupont) Brussels, March 21-23, 2017 Introduction: Projects of the topic eglasses: The

More information

Developing Algorithms for Robotics and Autonomous Systems

Developing Algorithms for Robotics and Autonomous Systems Developing Algorithms for Robotics and Autonomous Systems Jorik Caljouw 2015 The MathWorks, Inc. 1 Key Takeaway of this Talk Success in developing an autonomous robotics system requires: 1. Multi-domain

More information

The Integrated Smart & Security Platform Powered the Developing of IOT

The Integrated Smart & Security Platform Powered the Developing of IOT The Integrated Smart & Security Platform Powered the Developing of IOT We Are Entering A New Era- 50million connections Smart-Healthcare Smart-Wearable VR/AR Intelligent Transportation Eco-Agriculture

More information

Vision-Based Technologies for Security in Logistics. Alberto Isasi

Vision-Based Technologies for Security in Logistics. Alberto Isasi Vision-Based Technologies for Security in Logistics Alberto Isasi aisasi@robotiker.es INFOTECH is the Unit of ROBOTIKER-TECNALIA specialised in Research, Development and Application of Information and

More information

Cloud-based Large Scale Video Analysis

Cloud-based Large Scale Video Analysis Cloud-based Large Scale Video Analysis Marcos Nieto Principal Researcher Vicomtech-IK4 Joachim Kreikemeier Manager V-Drive Valeo Schalter und Sensoren GmbH INDEX 1. Cloud-LSVA project 2. ADAS validation

More information

Exploiting scene constraints to improve object detection algorithms for industrial applications

Exploiting scene constraints to improve object detection algorithms for industrial applications Exploiting scene constraints to improve object detection algorithms for industrial applications PhD Public Defense Steven Puttemans Promotor: Toon Goedemé 2 A general introduction Object detection? Help

More information

ims MICRO-SIZED COMMUNICATING SOLUTIONS FOR REMOTE DETECTION & IDENTIFICATION OF RADIOACTIVE & NUCLEAR MATERIAL innovation & measurement systems

ims MICRO-SIZED COMMUNICATING SOLUTIONS FOR REMOTE DETECTION & IDENTIFICATION OF RADIOACTIVE & NUCLEAR MATERIAL innovation & measurement systems ims innovation & measurement systems MICRO-SIZED COMMUNICATING SOLUTIONS FOR REMOTE DETECTION & IDENTIFICATION OF RADIOACTIVE & NUCLEAR MATERIAL ims offers radioprotection and radiation measurements solutions

More information

Brunswic. Welcome. Network video Surveillance. Biometric Identification (Face Detection) Biometric Identification (Finger Print)

Brunswic. Welcome. Network video Surveillance. Biometric Identification (Face Detection) Biometric Identification (Finger Print) Welcome Brunswic Welcome to Brunswic Total solution Provider in video surveillance security system, Biometric Identification,Professional Sensing solution for IP system and LPR Technology. Brunswic is

More information

Simulation: A Must for Autonomous Driving

Simulation: A Must for Autonomous Driving Simulation: A Must for Autonomous Driving NVIDIA GTC 2018 (SILICON VALLEY) / Talk ID: S8859 Rohit Ramanna Business Development Manager Smart Virtual Prototyping, ESI North America Rodolphe Tchalekian EMEA

More information

BIN PICKING APPLICATIONS AND TECHNOLOGIES

BIN PICKING APPLICATIONS AND TECHNOLOGIES BIN PICKING APPLICATIONS AND TECHNOLOGIES TABLE OF CONTENTS INTRODUCTION... 3 TYPES OF MATERIAL HANDLING... 3 WHOLE BIN PICKING PROCESS... 4 VISION SYSTEM: HARDWARE... 4 VISION SYSTEM: SOFTWARE... 5 END

More information

New! 3D Smart Sensor your assistant on mobile machines. ifm.com/us/mobile

New! 3D Smart Sensor your assistant on mobile machines. ifm.com/us/mobile New! 3D Smart Sensor your assistant on mobile machines ifm.com/us/mobile 1 See objects with ifm s 3D Smart Sensor Your assistant on mobile machines Obstacle detection challenges are amplified on large

More information

AIT Inline Computational Imaging: Geometric calibration and image rectification

AIT Inline Computational Imaging: Geometric calibration and image rectification AIT Inline Computational Imaging: Geometric calibration and image rectification B. Blaschitz, S. Štolc and S. Breuss AIT Austrian Institute of Technology GmbH Center for Vision, Automation & Control Vienna,

More information

Company Capabilities Briefing November 2011

Company Capabilities Briefing November 2011 Company Capabilities Briefing November 2011 Heidi Jacobus heidi@cybernet.com Cybernet Systems Corporation 727 Airport Blvd Ann Arbor, Michigan 48108 www.cybernet.com (734) 668-2567 www.cybernet.com Nov

More information

Thermal and Optical Cameras. By Philip Smerkovitz TeleEye South Africa

Thermal and Optical Cameras. By Philip Smerkovitz TeleEye South Africa Thermal and Optical Cameras By Philip Smerkovitz TeleEye South Africa phil@teleeye.co.za OPTICAL CAMERAS OVERVIEW Traditional CCTV Camera s (IP and Analog, many form factors). Colour and Black and White

More information

Autonomous Navigation for Flying Robots

Autonomous Navigation for Flying Robots Computer Vision Group Prof. Daniel Cremers Autonomous Navigation for Flying Robots Lecture 7.2: Visual Odometry Jürgen Sturm Technische Universität München Cascaded Control Robot Trajectory 0.1 Hz Visual

More information

Measuring the World: Designing Robust Vehicle Localization for Autonomous Driving. Frank Schuster, Dr. Martin Haueis

Measuring the World: Designing Robust Vehicle Localization for Autonomous Driving. Frank Schuster, Dr. Martin Haueis Measuring the World: Designing Robust Vehicle Localization for Autonomous Driving Frank Schuster, Dr. Martin Haueis Agenda Motivation: Why measure the world for autonomous driving? Map Content: What do

More information

A Strategy and Vision for Enterprise 3D GIS. B r o o k s P a t r i c k A c c o u n t E x e c u t i v e b p a t r i c e s r i.

A Strategy and Vision for Enterprise 3D GIS. B r o o k s P a t r i c k A c c o u n t E x e c u t i v e b p a t r i c e s r i. A Strategy and Vision for Enterprise 3D GIS B r o o k s P a t r i c k A c c o u n t E x e c u t i v e b p a t r i c k @ e s r i. c o m Understanding where things are, and why, is essential for rational

More information

ToF Camera for high resolution 3D images with affordable pricing

ToF Camera for high resolution 3D images with affordable pricing ToF Camera for high resolution 3D images with affordable pricing Basler AG Jana Bartels, Product Manager 3D Agenda Coming next I. Basler AG II. 3D Purpose and Time-of-Flight - Working Principle III. Advantages

More information

3D Simultaneous Localization and Mapping and Navigation Planning for Mobile Robots in Complex Environments

3D Simultaneous Localization and Mapping and Navigation Planning for Mobile Robots in Complex Environments 3D Simultaneous Localization and Mapping and Navigation Planning for Mobile Robots in Complex Environments Sven Behnke University of Bonn, Germany Computer Science Institute VI Autonomous Intelligent Systems

More information

ME132 February 3, 2011

ME132 February 3, 2011 ME132 February 3, 2011 Outline: - active sensors - introduction to lab setup (Player/Stage) - lab assignment - brief overview of OpenCV ME132 February 3, 2011 Outline: - active sensors - introduction to

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 William Hoff Dept of Electrical Engineering &Computer Science http://inside.mines.edu/~whoff/ 1 Introduction to 2 What is? A process that produces from images of the external world a description

More information

AASS, Örebro University

AASS, Örebro University Henrik Andreasson, Abdelbaki Bouguerra, Marcello Mobile Cirillo, Robotics Dimitar Dimitrov, and Olfaction Dimiter Driankov, Lab, Martin Magnusson, Federico Pecora, and Achim J. Lilienthal AASS, Örebro

More information

Enhancing Traditional Rasterization Graphics with Ray Tracing. October 2015

Enhancing Traditional Rasterization Graphics with Ray Tracing. October 2015 Enhancing Traditional Rasterization Graphics with Ray Tracing October 2015 James Rumble Developer Technology Engineer, PowerVR Graphics Overview Ray Tracing Fundamentals PowerVR Ray Tracing Pipeline Using

More information

3D Computer Vision 1

3D Computer Vision 1 3D Computer Vision 1 Multiview Stereo Multiview Stereo Multiview Stereo https://www.youtube.com/watch?v=ugkb7itpnae Shape from silhouette Shape from silhouette Shape from silhouette Shape from silhouette

More information

Making Machines See. Roberto Cipolla Department of Engineering. Research team

Making Machines See. Roberto Cipolla Department of Engineering. Research team Making Machines See Roberto Cipolla Department of Engineering Research team http://www.eng.cam.ac.uk/~cipolla/people.html Cognitive Systems Engineering Cognitive Systems Engineering Introduction Making

More information

A Modular Software Framework for Eye-Hand Coordination in Humanoid Robots

A Modular Software Framework for Eye-Hand Coordination in Humanoid Robots A Modular Software Framework for Eye-Hand Coordination in Humanoid Robots Jurgen Leitner, Simon Harding, Alexander Forster and Peter Corke Presentation: Hana Fusman Introduction/ Overview The goal of their

More information

Questions and answers. i for intelligence live broadcast

Questions and answers. i for intelligence live broadcast Questions and answers. Bosch : Oct. 26th 2017 Q4. Are there any specific market segments or industries on which Bosch Security Systems are focusing? Q5. How will IoT be implemented in older vehicles? Are

More information

Overview. Augmented reality and applications Marker-based augmented reality. Camera model. Binary markers Textured planar markers

Overview. Augmented reality and applications Marker-based augmented reality. Camera model. Binary markers Textured planar markers Augmented reality Overview Augmented reality and applications Marker-based augmented reality Binary markers Textured planar markers Camera model Homography Direct Linear Transformation What is augmented

More information

Vision based autonomous driving - A survey of recent methods. -Tejus Gupta

Vision based autonomous driving - A survey of recent methods. -Tejus Gupta Vision based autonomous driving - A survey of recent methods -Tejus Gupta Presently, there are three major paradigms for vision based autonomous driving: Directly map input image to driving action using

More information

Multi-View 3D Object Detection Network for Autonomous Driving

Multi-View 3D Object Detection Network for Autonomous Driving Multi-View 3D Object Detection Network for Autonomous Driving Xiaozhi Chen, Huimin Ma, Ji Wan, Bo Li, Tian Xia CVPR 2017 (Spotlight) Presented By: Jason Ku Overview Motivation Dataset Network Architecture

More information