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The scan matching is one of the basic elements of several SLAM (Simultaneous Localization and Mapping) algorithms. There are a lot of researches that are interested in scan matching, but the majority deals with the algorithmic side only, without worrying about implementation tricks that can be very useful. This paper presents a simple and effective method to accelerate the scan matching step. Our...
We present promising results for visual object categorization, obtained with adaBoost using new original "keypoints-based features". These weak-classifiers produce a Boolean response based on presence or absence in the tested image of a "keypoint" (a kind of SURF interest point) with a descriptor sufficiently similar (i.e. within a given distance) to a reference descriptor characterizing...
We present and evaluate a person re-identification scheme for multi-camera surveillance system. Our approach uses matching of signatures based on interest-points descriptors collected on short video sequences. One of the originalities of our method is to accumulate interest points on several sufficiently time-spaced images during person tracking within each camera, in order to capture appearance variability...
While shifting lane on the road, the presence of a car in the blindspot can cause many accidents, since the driver does not always turn his head. Therefore, a blindspot car detection is likely to become an essential part of modern vehicles. We developed a program that detects cars in the particular configuration of blindspot using video data taken from the left or right mirror of a car, using on the...
In France, about 33% of roads victims are VRU. In its 3rd framework, the French PREDIT includes VRU Safety. The PUVAME project was created to generate solutions to avoid collisions between VRU and bus in urban traffic. An important part of these collisions take place at intersection or bus stop. In this paper, we detail the hardware and software architecture designed and developed in the project....
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