Abstract
Vehicle detection based computer vision is the essential algorithm in autonomous driving, aims at identifying which locating vehicles by digital images or videos. The basic idea of vehicle detection is detecting “blocks,” which reflects the position of the vehicle in images or videos. Besides, this paper discusses 3D vehicle detection algorithms based on stereo perception, which originated from advanced planar vehicle detection perception. Finally, this paper summarizes the vehicle detection algorithms in recent years in terms of the difference between the feature extraction approach and the perceived results. It proposes hypotheses for further in-depth study of the vehicle detection algorithms.
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