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pro vyhledávání: '"Ouyang, Junyuan"'
Multi-object tracking (MOT) has important applications in monitoring, logistics, and other fields. This paper develops a real-time multi-object tracking and prediction system in rugged environments. A 3D object detection algorithm based on Lidar-came
Externí odkaz:
http://arxiv.org/abs/2308.11870
While point-based neural architectures have demonstrated their efficacy, the time-consuming sampler currently prevents them from performing real-time reasoning on scene-level point clouds. Existing methods attempt to overcome this issue by using rand
Externí odkaz:
http://arxiv.org/abs/2305.14306
Autor:
Ouyang, Junyuan, Chen, Haoyao
Accurate 3D object detection with LiDAR is critical for autonomous driving. Existing research is all based on the flat-world assumption. However, the actual road can be complex with steep sections, which breaks the premise. Current methods suffer fro
Externí odkaz:
http://arxiv.org/abs/2207.09412
Akademický článek
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