Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation

Author:

Sun Jiadai1,Dai Yuchao1,Zhang Xianjing2,Xu Jintao2,Ai Rui2,Gu Weihao2,Chen Xieyuanli2

Affiliation:

1. Northwestern Polytechnical University

2. HAOMO.AI Tech. Co., Ltd.

Publisher

IEEE

Reference40 articles.

1. The Pascal Visual Object Classes (VOC) Challenge

2. What could move? finding cars, pedestrians and bicyclists in 3d laser data;wang;IEEE Intl Conf On Robotics and Automation (ICRA) IEEE,0

3. Rigid scene flow for 3D LiDAR scans

4. Dual-Branch CNNs for Vehicle Detection and Tracking on LiDAR Data

5. RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds

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