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Because they have neither well defined shapes nor well defined behaviors, detecting, tracking and classifying pedestrians in a dense urban environment from a moving vehicle remains a difficult task. This is especially true when people are standing or walking very close from one another. Indeed, because of occlusions, pedestrians are then usually very difficult to discriminate and several pedestrians...
This paper introduces a new real-time traffic light recognition system for on-vehicle camera applications. This approach has been tested with good results in urban scenes. Thanks to the use of our generic "adaptive templates" it would be possible to recognize different kinds of traffic lights from various countries. Our approach is mainly based on a spot detection algorithm therefore able...
Understanding its environment remains a difficult problem for a mobile robot. Several intricate problems (localization, mapping, detection, tracking, classification) have indeed to be solved concurrently. However, most perception algorithms solve these issues independently leading to limited performances in highly changing environments. We present in this paper an original approach where the mapping,...
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