Obstacle detection for people movers using vision and radar

People movers (autonomous road vehicles) are a new means of public transport with promising capabilities. A roadmap is presented that shows the anticipated development of crucial technologies for people movers. A critical technology is obstacle detection. An obstacle detection system is presented based on stereo vision and radar that uses sensor fusion and tracking for obstacle detection. The obstacle detection system was tested on an autonomous test vehicle and showed promising results.

[1]  Reinhard Männer,et al.  Calculating Dense Disparity Maps from Color Stereo Images, an Efficient Implementation , 2004, International Journal of Computer Vision.

[2]  James S. Albus,et al.  A reference model architecture for intelligent systems design , 1993 .

[3]  W. Huiskamp,et al.  Unmanned vehicle control using simulation and virtual reality techniques , 2001, ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585).

[4]  Roberto Manduchi,et al.  Fast and reliable obstacle detection and segmentation for cross-country navigation , 2002, Intelligent Vehicle Symposium, 2002. IEEE.

[5]  F.C.A. Groen,et al.  Stereo based navigation in unstructured environments , 2001, IMTC 2001. Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference. Rediscovering Measurement in the Age of Informatics (Cat. No.01CH 37188).

[6]  Luigi di Stefano,et al.  Fast stereo matching for the VIDET system using a general purpose processor with multimedia extensions , 2000, Proceedings Fifth IEEE International Workshop on Computer Architectures for Machine Perception.

[7]  S. P. Mudur,et al.  Three-dimensional computer vision: a geometric viewpoint , 1993 .

[8]  Zhengyou Zhang,et al.  Flexible camera calibration by viewing a plane from unknown orientations , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.