Title :
Towards all around automatic visual obstacle sensing for cars
Author :
Brauckmann, Michael E. ; Goerick, Christian ; Gross, James ; Zielke, Thomas
Author_Institution :
Inst. fur Neuroinformatik, Ruhr-Univ., Bochum, Germany
Abstract :
We currently work on the implementation of an integrated prototype system that provides "all around" automatic visual obstacle sensing for a Daimler-Benz test car. Most of the machine vision techniques being used have been developed within the European PROMETHEUS programme and a number of other research projects carried out by the authors and other affiliates of their institutions. This includes robust symmetry measuring, neural net-based adaptive object detection and tracking, and inverse-perspective stereo image matching and robust scale estimation in time.
Keywords :
computer vision; image matching; navigation; neural nets; road vehicles; stereo image processing; tracking; Daimler-Benz test car; PROMETHEUS; automatic visual obstacle sensing; cars; computer vision; inverse-perspective stereo image matching; machine vision; neural net-based adaptive object detection; road vehicle; robust symmetry measuring; scale estimation; tracking; Automatic control; Automation; Cameras; Computer vision; Object detection; Prototypes; Road vehicles; Robustness; Stereo vision; Vehicle detection;
Conference_Titel :
Intelligent Vehicles '94 Symposium, Proceedings of the
Print_ISBN :
0-7803-2135-9
DOI :
10.1109/IVS.1994.639476