Abstract
COLARADO (an acronym for collision avoidance radar able to distinguish obstacles) is a system for use in the control of autonomously driven vehicles, having static radar antennas. By combining the echos, resulting from 2 continuously emitting transmitters and 3 receivers, it is possible to compute the locations of obstacles in 3 dimensions. The main problem is to separate the real obstacles from ghosts amongst noise and clutter, up to a distance of 12.8 m. This paper discusses the signal processing algorithms as well as the related real-time parallel computer hardware and system software.
Cite
CITATION STYLE
Reijns, G. L., Van Gemund, A. J. C., & Schier, J. (1999). Real-time signal processing in a collision avoidance radar system using parallel computing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1593, pp. 23–32). Springer Verlag. https://doi.org/10.1007/bfb0100562
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