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.
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© 1999 Springer-Verlag
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Reijns, G.L., van Gemund, A.J.C., Schier, J., Swart, P.J.F. (1999). Real-time signal processing in a collision avoidance radar system using parallel computing. In: Sloot, P., Bubak, M., Hoekstra, A., Hertzberger, B. (eds) High-Performance Computing and Networking. HPCN-Europe 1999. Lecture Notes in Computer Science, vol 1593. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0100562
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DOI: https://doi.org/10.1007/BFb0100562
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