Real time obstacle detection using Alpha parallel systems

An integrated system for ground plane obstacle detection based on Alpha Data Parallel system with four processors is presented in this paper. We partially use on-line calibration to make the system self adaptable and use the projective transformation method to find the occupied space and/or free space in front of a mobile robot moving on the ground plane. We investigate stereo correspondence problem in the framework of color stereo vision to decrease the ambiguities and inconsistencies of available information in images. The results show our system is efficient and robust.