Autotaxi is a 2-year collaborative project funded by the UK Department of Trade and Industry (DTI) as part of the Foresight Vehicle Link Programme. The project partners are TRW Automotive Limited, Advanced Transport Systems Limited, Praxis Critical Systems Limited, University of Bristol and University of Warwick.
The project developed a safety critical sensor system for autonomous vehicles. The sensing technologies used were radar, video and optical ranging devices. Warwick University was responsible for the development of obstacle detection algorithms for the video sensor.
Contact person for Autotaxi project at Warwick University: Dr Tardi Tjahjadi.
Autotaxi publications involving the IPES Laboratory:
"Multi-View Camera Calibration Framework for Non-Parametric Distortions Removal," Vincent,CY, Tjahjadi T, IEEE Transactions on Robotics, Vol. 21, No. 5, October 2005, 1004-1009.
"Planar Direct Method: A New Framework for Stereo Vision Based Vehicle Guidance and Obstacle Detection," Vincent,CY, Tjahjadi T, Proceedings of IEEE International Conference on Image Processing (ICIP'2005), September 2005, Vol. III, 381-384.
"Safety Critical Sensor Integration for Autonomous Vehicles," Buchanan A, Shooter C, Ross-Martin T, Lowson M, Needle B, Fletcher L, Lieven N, Tjahjadi T, Vincent C, Proceedings of 10th World Congress on Intelligent Transport Systems and Services, November 2003.
"Obstacle Detection by Direct Estimation of Multiple Motion and Scene Structure from a Moving Stereo Rig," Vincent CY, Tjahjadi T, Proceedings of 2003 IEEE International Conference on Systems, Man and Cybernetics, October 2003, 2326-2331.