Fast Pedestrian Detection in Dense Environment with a Laser Scanner and a Camera

Gwennaël Gate, Amaury Breheret, Fawzi Nashashibi · 2009

Because pedestrians have neither well defined shapes nor well defined behaviors, detecting and tracking them from a moving vehicle remains a difficult task. To serve as an onboard driver assistance system, a perception algorithm also needs to be both fast and robust. We present in this paper a system that reaches a good level of reliability by efficiently combining the data of two sensors - a laser scanner and a camera - while remaining tractable on CPU limited mobile architectures.

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