Estimation of the absolute position of mobile systems by an optoelectronic processor

A method that determines the absolute position of a mobile system with a hybrid optoelectronic processor has been developed. Position estimates are based on an analysis of circular landmarks that are detected by a TV camera attached to the mobile system. The difference between the known shape of the landmark and its image provides the information needed to determine the absolute position of the mobile system. For robust operation, the parameters of the landmark image are extracted at high speeds using an optical processor that performs an optical Hough transform. The coordinates of the mobile system are computed from these parameters in a digital coprocessor using fast algorithms. Different sources of position estimation errors have also been analyzed, and consequent algorithms for improving the navigation performance of the mobile system have been developed and evaluated by both computer simulation and experiments. >

[1]  Jau-Yien Lee,et al.  Robot guidance using standard mark , 1988 .

[2]  Hugh F. Durrant-Whyte,et al.  Sensor Models and Multisensor Integration , 1988, Int. J. Robotics Res..

[3]  John M. Richardson,et al.  Fusion of Multisensor Data , 1988, Int. J. Robotics Res..

[4]  Y Fainman,et al.  Computerized design and generation of space-variant holographic filters. 1: System design considerations and applications of space-variant filters to image processing. , 1988, Applied optics.

[5]  Álvaro Enrique Arenas,et al.  Position verification of a mobile robot using standard pattern , 1987, IEEE Journal on Robotics and Automation.

[6]  Kokichi Sughiara Some location problems for robot navigation using a single camera , 1988 .

[7]  Jiann-Der Lee,et al.  A New Approach to Robot Guidance in an Unfamiliar Environment Using Indication-Posts , 1991, J. Inf. Sci. Eng..

[8]  Peter Cheeseman,et al.  On the Representation and Estimation of Spatial Uncertainty , 1986 .

[9]  J. K. Aggarwal,et al.  Determining the position of a robot using a single calibration object , 1984, ICRA.

[10]  Pierre Ambs,et al.  Computerized Design And Generation Of Space-Variant Holographic Filter , 1988, Photonics West - Lasers and Applications in Science and Engineering.

[11]  H. Vincent Poor,et al.  An Introduction to Signal Detection and Estimation , 1994, Springer Texts in Electrical Engineering.

[12]  David Nitzan,et al.  Three-Dimensional Vision Structure for Robot Applications , 1988, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  Toshio Kondo,et al.  Automatic position findings of vehicle by means of laser , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.

[14]  Yoram Koren,et al.  A Mobile Platform for Nursing Robots , 1985, IEEE Transactions on Industrial Electronics.

[15]  Ikuo Fukui TV image processing to determine the position of a robot vehicle , 1981, Pattern Recognit..

[16]  Max Mintz,et al.  Robust fusion of location information , 1988, Proceedings. 1988 IEEE International Conference on Robotics and Automation.

[17]  Ren C. Luo,et al.  Dynamic multi-sensor data fusion system for intelligent robots , 1988, IEEE J. Robotics Autom..

[18]  L. G. Parratt,et al.  Probability and Experimental Errors in Science , 1973 .

[19]  Eric Krotkov Mobile robot localization using a single image , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[20]  Anita M. Flynn,et al.  Combining Sonar and Infrared Sensors for Mobile Robot Navigation , 1988, Int. J. Robotics Res..

[21]  Theodore S. Rappaport,et al.  Infra-red location system for navigation of autonomous vehicles , 1988, Proceedings. 1988 IEEE International Conference on Robotics and Automation.

[22]  Toru Suzuki,et al.  Automated vehicle guidance using spotmark , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.

[23]  Yoram Koren,et al.  MOTION CONTROL ANALYSIS OF A MOBILE ROBOT , 1987 .

[24]  Rafael M. Inigo,et al.  Range Measurements by a Mobile Robot Using a Navigation Line , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[25]  Jiann-Der Lee,et al.  A new approach to robot guidance in unfamiliar environment using an indication post , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[26]  Martin A. Fischler,et al.  Computational Stereo , 1982, CSUR.

[27]  Henry Stark,et al.  Probability, Random Processes, and Estimation Theory for Engineers , 1995 .

[28]  Masafumi Hashimoto,et al.  Positioning and guidance of ground vehicle by use of laser and corner cube , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.

[29]  Jake K. Aggarwal,et al.  Robot guidance using computer vision , 1984, Pattern Recognit..

[30]  Graham C. Goodwin,et al.  Adaptive filtering prediction and control , 1984 .

[31]  C. M. Wang,et al.  Location estimation and uncertainty analysis for mobile robots , 1988, Proceedings. 1988 IEEE International Conference on Robotics and Automation.