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Interactive Multi-scale Fusion of 2D and 3D Features for Multi-object Tracking
[article]
2022
arXiv
pre-print
Multiple object tracking (MOT) is a significant task in achieving autonomous driving. Traditional works attempt to complete this task, either based on point clouds (PC) collected by LiDAR, or based on images captured from cameras. However, relying on one single sensor is not robust enough, because it might fail during the tracking process. On the other hand, feature fusion from multiple modalities contributes to the improvement of accuracy. As a result, new techniques based on different sensors
arXiv:2203.16268v1
fatcat:4egeregsjvavfgbrc2marm2wsm