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

fYear

1994

fDate

24-26 Oct. 1994

Firstpage

79

Lastpage

84

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Vehicles '94 Symposium, Proceedings of the

Print_ISBN

0-7803-2135-9

Type

conf

DOI

10.1109/IVS.1994.639476

Filename

639476