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Pedestrian Detection with Multi-View Convolution Fusion Algorithm
2022
Entropy
In recent years, the pedestrian detection technology of a single 2D image has been dramatically improved. When the scene becomes very crowded, the detection performance will deteriorate seriously and cannot meet the requirements of autonomous driving perception. With the introduction of the multi-view method, the task of pedestrian detection in crowded or fuzzy scenes has been significantly improved and has become a widely used method in autonomous driving. In this paper, we construct a
doi:10.3390/e24020165
pmid:35205460
pmcid:PMC8870950
fatcat:wff7suvrcfdbzlqbsidtskrv3y