Computer Engineering Paper Giovanni Adorni, Alberto Broggi, Gianni Conte, and Vincenzo D'Andrea, A self-tuning system for real-time Optical Flow detection, In Proceedings IEEE System, Man, and Cybernetics Conference, volume 3, pages 7-12, Le Toquet, France, October 17-20 1993. IEEE System, Man and Cybernetics,
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The work presented in this paper is aimed towards the real-time analysis of image sequences acquired from a moving vehicle. Our goal is to extract the optical flow field from the image sequence. The information obtained will be used to detect obstacles in front of a moving vehicle and to compute the time to impact for approaching objects. These requirements mean that special care must be taken with the response time of the algorithm. In order to obtain a fast response, a special-purpose massively parallel architecture was used. Furthermore, the algorithm uses an heuristic approach rather than an analytical one. In the approach presented here, the detection of optical flow is driven by a high level process, by tuning algorithm's parameters.

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