Multi-UAV Cooperative Perception Techniques

This Chapter is devoted to the cooperation of multiple UAVs for environment perception. First, probabilistic methods for multi-UAV cooperative perception are analyzed. Then, the problem of multi-UAV detection, localization and tracking is described, and local image processing techniques are presented. Then, the Chapter shows two approaches based on the Information Filter and on evidence grid representations.

[1]  Luis Merino,et al.  Control and perception techniques for aerial robotics , 2003 .

[2]  Nicholas Ayache,et al.  Artificial vision for mobile robots - stereo vision and multisensory perception , 1991 .

[3]  Hugh F. Durrant-Whyte,et al.  Closed form solutions to the multiple-platform simultaneous localization and map building (SLAM) problem , 2000, SPIE Defense + Commercial Sensing.

[4]  C Tomasi,et al.  Shape and motion from image streams: a factorization method. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[5]  O. Faugeras Three-dimensional computer vision: a geometric viewpoint , 1993 .

[6]  Edward J. Sondik,et al.  The Optimal Control of Partially Observable Markov Processes over a Finite Horizon , 1973, Oper. Res..

[7]  Zhengyou Zhang,et al.  A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Christiaan J. J. Paredis,et al.  Heterogeneous Teams of Modular Robots for Mapping and Exploration , 2000, Auton. Robots.

[9]  Jeffrey K. Uhlmann,et al.  A non-divergent estimation algorithm in the presence of unknown correlations , 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

[10]  Michael Beetz,et al.  Cooperative probabilistic state estimation for vision-based autonomous mobile robots , 2002, IEEE Trans. Robotics Autom..

[11]  S. Grime,et al.  Data fusion in decentralized sensor networks , 1994 .

[12]  Per-Erik Forssén,et al.  Low and Medium Level Vision Using Channel Representations , 2004 .

[13]  Simon Lacroix,et al.  The Autonomous Blimp Project of LAAS-CNRS: Achievements in Flight Control and Terrain Mapping , 2004, Int. J. Robotics Res..

[14]  Kunle Olukotun,et al.  The Information-Form Data Association Filter , 2005, NIPS.

[15]  Per-Erik Forssén,et al.  View matching with blob features , 2005, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05).

[16]  Libor Preucil,et al.  Robust data fusion with occupancy grid , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[17]  Aníbal Ollero,et al.  Motion compensation and object detection for autonomous helicopter visual navigation in the COMETS system , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[18]  Maja J. Mataric,et al.  Minimizing complexity in controlling a mobile robot population , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.

[19]  Aníbal Ollero,et al.  A visual odometer without 3D reconstruction for aerial vehicles. Applications to building inspection , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[20]  Tony Lindeberg,et al.  Scale-Space Theory in Computer Vision , 1993, Lecture Notes in Computer Science.

[21]  Yanli Yang,et al.  Evidential map-building approaches for multi-UAV cooperative search , 2005, Proceedings of the 2005, American Control Conference, 2005..

[22]  Andrew P. Sage,et al.  Uncertainty in Artificial Intelligence , 1987, IEEE Transactions on Systems, Man, and Cybernetics.

[23]  Gunnar Farnebäck,et al.  Motion Detection in the WITAS Project , 2002 .

[24]  H.F. Durrant-Whyte,et al.  Reliability in decentralised data fusion networks , 1994, Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems.

[25]  Sebastian Thrun,et al.  Probabilistic robotics , 2002, CACM.

[26]  Aníbal Ollero,et al.  A cooperative perception system for multiple UAVs: Application to automatic detection of forest fires , 2006, J. Field Robotics.

[27]  Wolfram Burgard,et al.  Coordination for Multi-Robot Exploration and Mapping , 2000, AAAI/IAAI.

[28]  Stepán Obdrzálek,et al.  Object Recognition using Local Affine Frames on Distinguished Regions , 2002, BMVC.

[29]  José M. F. Moura,et al.  Block matrices with L-block-banded inverse: inversion algorithms , 2005, IEEE Transactions on Signal Processing.

[30]  Gaurav S. Sukhatme,et al.  Experiments with a Large Heterogeneous Mobile Robot Team: Exploration, Mapping, Deployment and Detection , 2006, Int. J. Robotics Res..

[31]  Lawrence D. Stone,et al.  Bayesian Multiple Target Tracking , 1999 .

[32]  Andrew Zisserman,et al.  Multiple View Geometry in Computer Vision (2nd ed) , 2003 .

[33]  Hugh Durrant-Whyte,et al.  Decentralised data fusion with particles , 2005 .

[34]  Aníbal Ollero,et al.  Real-Time Feature Matching in Image Sequences for Non-Structured Environments. Applications to Vehicle Guidance , 2000, J. Intell. Robotic Syst..

[35]  S. Shankar Sastry,et al.  Probabilistic pursuit-evasion games: theory, implementation, and experimental evaluation , 2002, IEEE Trans. Robotics Autom..

[36]  Pradeep K. Khosla,et al.  Distributed surveillance and reconnaissance using multiple autonomous ATVs: CyberScout , 2002, IEEE Trans. Robotics Autom..

[37]  Tucker R. Balch,et al.  Behavior-based formation control for multirobot teams , 1998, IEEE Trans. Robotics Autom..

[38]  John J. Leonard,et al.  Cooperative concurrent mapping and localization , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[39]  Timothy W. McLain,et al.  Cooperative forest fire surveillance using a team of small unmanned air vehicles , 2006, Int. J. Syst. Sci..

[40]  Zhengyou Zhang,et al.  Parameter estimation techniques: a tutorial with application to conic fitting , 1997, Image Vis. Comput..

[41]  Bernhard Nebel,et al.  CS Freiburg: coordinating robots for successful soccer playing , 2002, IEEE Trans. Robotics Autom..

[42]  Kikuo Fujimura,et al.  Map making by cooperating mobile robots , 1993, [1993] Proceedings IEEE International Conference on Robotics and Automation.

[43]  Tucker R. Balch,et al.  Distributed sensor fusion for object position estimation by multi-robot systems , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[44]  Tucker R. Balch,et al.  Value-based action selection for exploration and dynamic target observation with robot teams , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[45]  Alexei Makarenko,et al.  Information-theoretic coordinated control of multiple sensor platforms , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[46]  Jeffrey K. Uhlmann,et al.  New extension of the Kalman filter to nonlinear systems , 1997, Defense, Security, and Sensing.

[47]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[48]  John J. Leonard,et al.  Adaptive Mobile Robot Navigation and Mapping , 1999, Int. J. Robotics Res..

[49]  Wolfram Burgard,et al.  Coordinated multi-robot exploration , 2005, IEEE Transactions on Robotics.

[50]  Hugh F. Durrant-Whyte,et al.  Simultaneous Localization and Mapping with Sparse Extended Information Filters , 2004, Int. J. Robotics Res..

[51]  Sebastian Thrun,et al.  Decentralized Sensor Fusion with Distributed Particle Filters , 2002, UAI.

[52]  H. Durrant-Whyte,et al.  The ANSER Project: Data Fusion Across Multiple Uninhabited Air Vehicles , 2003 .

[53]  Aníbal Ollero,et al.  Vision-based multi-UAV position estimation , 2006, IEEE Robotics & Automation Magazine.