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In this paper, a pedestrian detection framework aided by the fusion of information between binocular vision is proposed.
In this paper, we propose integrating deep semantic segmentation feature maps into the original pedestrian detection framework which combines feature channels with AdaBoost classifiers.
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Compared with single image pedestrian detection, our detection framework has the potential of aggregating information from multiple images to improve the detection on individual image.
The implicit shape model (ISM) interleaves pedestrian detection and segmentation.
We construct a simple 3D model [4, 28] for pedestrian detection.
This summer, I will lease a new Volvo model featuring Collision Warning with Full Auto Brake and Pedestrian Detection.
But the Night Vision system with pedestrian detection is the acme of superfluous options.
Prices begin at $55,750 with standard Quattro all-wheel drive, auto-braking with pedestrian detection and a panoramic glass roof.
The Three model I tested, equipped with the Advanced Tech package that includes auto braking and pedestrian detection, had a sticker of $30,117.
There is its pedestrian detection system, its collision warning system, the multiple driver alerts, the city safe features and its eco DRIVe enhancements.
Occlusions make pedestrian detection difficult.
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