In this contribution new results in the field of video processing regarding the problem of obstacle detection will be presented. Video sequences obtained from a camera mounted in a driving car are used as the input to a CNN and different templates are applied to extract multiple features from video sequences. Thereby, CNN with nonlinear weight functions have been considered allowing a reliable feature extraction. A detailed discussion of the algorithms and obtained results will be given in this paper.
Recent results for obstacle detection by cellular neural networks (CNN)
2005
5 Seiten, 14 Quellen
Conference paper
English
Obstacle avoidance using neural networks
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