Web: http://arxiv.org/abs/2205.05979

May 13, 2022, 1:10 a.m. | Xuesong Chen, Shaoshuai Shi, Benjin Zhu, Ka Chun Cheung, Hang Xu, Hongsheng Li

cs.CV updates on arXiv.org arxiv.org

Accurate and reliable 3D detection is vital for many applications including
autonomous driving vehicles and service robots. In this paper, we present a
flexible and high-performance 3D detection framework, named MPPNet, for 3D
temporal object detection with point cloud sequences. We propose a novel
three-hierarchy framework with proxy points for multi-frame feature encoding
and interactions to achieve better detection. The three hierarchies conduct
per-frame feature encoding, short-clip feature fusion, and whole-sequence
feature aggregation, respectively. To enable processing long-sequence point
clouds …

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