Laser & Optoelectronics Progress, Volume. 61, Issue 4, 0428001(2024)
Long-Period Localization Method for LiDAR Based on Local Mapping
Fig. 3. An example of a permanent structural change in DCC. (a) Construction in progress in DCC01; (b) construction completed in DCC02
Fig. 4. Trajectory comparison. (a) The shape and direction of the DCC02 trajectory; (b) comparison of OL-NDT and NDT trajectories with ground truth, box A, lost location of NDT; (c) absolute error comparison of NDT and OL-NDT
Fig. 5. OLML positioning schematic. (a) OL-NDT trajectory and the positional relationship between local map and global map; (b) partial enlarged map
Fig. 6. An example of a short-term structural change in KAIST. (a) On-street parking situation of KAIST01; (b) on-street parking situation of KAIST02; (c) on-street parking situation of KAIST03
Fig. 7. Schematic of the campus data of Beijing Union University. (a) Aerial view of campus data; (b) global map of campus data, box E shows the a scene without a map
Fig. 8. Schematic of the result of the no-map position.(a) OL-NDT trajectory and local map relations with global map; (b) an enlarged view of the no-map region E of the global map. (c) an enlarged view of the no-map region E of the local map
Fig. 9. Comparison of localization score
|
|
Get Citation
Copy Citation Text
Han Qi, Yuansheng Liu, Jun Zhang, Xunyu Man, Zhiming Zhang. Long-Period Localization Method for LiDAR Based on Local Mapping[J]. Laser & Optoelectronics Progress, 2024, 61(4): 0428001
Category: Remote Sensing and Sensors
Received: Mar. 30, 2023
Accepted: May. 19, 2023
Published Online: Feb. 26, 2024
The Author Email: Yuansheng Liu (yuansheng@buu.edu.cn)
CSTR:32186.14.LOP230993