By Henrik I. Christensen

Computer imaginative and prescient has now reached a degree of adulthood that permits us not just to accomplish examine on person tools but in addition to construct absolutely built-in laptop imaginative and prescient structures of a signi cant complexity. This opens up a couple of new difficulties on the topic of architectures, structures integration, validation of - stems utilizing benchmarking options, etc. up to now, nearly all of imaginative and prescient meetings have keen on part applied sciences, which has stimulated the association of the 1st overseas convention on desktop imaginative and prescient structures (ICVS). it's our desire that the convention will let us not just to determine a couple of fascinating new imaginative and prescient innovations and structures yet confidently additionally to de ne the study concerns that have to be addressed to pave the best way for extra wide-scale use of laptop imaginative and prescient in a various set of real-world functions. ICVS is prepared as a single-track convention such as high quality, p- viously unpublished, contributed papers on new and unique examine on c- puter imaginative and prescient structures. All contributions can be awarded orally. a complete of sixty five papers have been submitted for attention by means of the convention. All papers have been - seen by means of 3 reviewers from this system committee. Thirty-two of the papers have been chosen for presentation. ICVS’99 is being held on the Alfredo Kraus Auditorium and conference Centre, in Las Palmas, at the wonderful Canary Islands, Spain. The atmosphere is spri- like, which turns out purely acceptable because the foundation for a brand new conference.

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Extra info for Computer Vision Systems: First International Conference, ICVS’ 99 Las Palmas, Gran Canaria, Spain, January 13–15, 1999 Proceedings

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G go along the corridor, turn left, enter the door, dock to a point) and the perceptual capabilities for evaluating the mission progress. Such a map can be represented as a graph. Links correspond to trajectory segments where visual servoing can be used. Nodes correspond to locations where special actions need to take place like turning, entering a door, launching another navigation behavior, etc. Figure1 shows an example of such a map. It contains information regarding qualitative spatial relations between points or regions in the environment.

10. H R Hashemipour, S Roy, and A J Laub. Decentralized structures for parallel Kalman filtering. IEEE Trans. Auto. Control, 33(1):88–93, 1988. 11. J J Leonard and H F Durrant-Whyte. Mobile robot localization by tracking geometric beacons. IEEE Trans. Robotics and Automation, 7(3):376–382, June 1991. 50 B. Southall et al. 12. J A Marchant and R Brivot. Real time tracking of plant rows using a Hough transform. Real Time Imaging, 1:363–371, 1995. 13. P S Maybeck. Stochastic Models, Estimation, and Control, volume 1.

Crosses show the predicted crop positions. Only features lying between the vehicle’s wheel tracks have been segmented. 2% Table 1. Percentage classification rates of the segmentation algorithm. Key: A—B means type A classified as type B. Vision-Aided Outdoor Navigation of an Autonomous Horticultural Vehicle 5 49 Conclusions and Further Work A previously described algorithm has been adapted for implementation on an outdoor autonomous vehicle, replacing a previous method based upon the Hough transform.

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