Acta Optica Sinica, Volume. 42, Issue 24, 2401007(2022)
Lidar Point Cloud Descriptor with Rotation and Translation Invariance in Dynamic Environment
Fig. 3. Comparison of results before and after point cloud processing. (a) Original cloud; (b) result after segmentation and dynamic target elimination
Fig. 4. Schematic diagram of point cloud coordinate system before and after correction. (a) Before correction; (b) after correction
Fig. 6. Schematic diagram of descriptor drawing. (a) Descriptor drawing; (b) descriptor
Fig. 7. Comparison of invariance performance. (a) Rotation; (b) translation; (c) rotation+translation
Fig. 8. Precision-recall curves for four different sequences. (a) KITTI 00; (b) KITTI 02; (c) KITTI 05; (d) KITTI 08
Fig. 9. Precision-recall curves for two different sequences. (a) KITTI 00; (b) KITTI 08
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Yaohui Chang, Niansheng Chen, Lei Rao, Songlin Cheng, Guangyu Fan, Xiaoyong Song, Dingyu Yang. Lidar Point Cloud Descriptor with Rotation and Translation Invariance in Dynamic Environment[J]. Acta Optica Sinica, 2022, 42(24): 2401007
Category: Atmospheric Optics and Oceanic Optics
Received: May. 11, 2022
Accepted: Jul. 11, 2022
Published Online: Dec. 14, 2022
The Author Email: Lei Rao (raol@sdju.edu.cn)