Laser & Optoelectronics Progress, Volume. 61, Issue 14, 1428007(2024)
Research on Infrared and LiDAR Calibration Algorithm for Road Scene
Fig. 1. Registration flow chart
Fig. 2. Infrared camera and LiDAR hardware synchronization solution
Fig. 3. Coordinate system diagram
Fig. 4. Sensor mounting location dimensions
Fig. 5. Lidar coordinate system translation
Fig. 6. LiDAR coordinate system rotation
Fig. 7. Coarse registration effect
Fig. 8. Coarse calibration effect test
Fig. 9. Principle of fine calibration
Fig. 10. Point cloud distribution of zebra line and lane line
Fig. 11. Comparison of zebra line point cloud extraction effects. (a) Zebra lines extracted by initial intensity threshold; (b) zebra lines extracted by adaptive intensity threshold
Fig. 12. Comparison of extraction effects of road pole point cloud. (a) Point cloud of road poles extracted using voxel columns; (b) point cloud of road poles extracted using voxel columns plus cylindrical fitting
Fig. 13. Comparison of pedestrian projection effects. (a) Coarse calibration projection effect; (b) fine calibration projection effect
Fig. 14. Calibration algorithm flow chart
Fig. 15. Comparison of alignment projection effect of different schemes. (a) Alignment effect of visible light and LiDAR; (b) alignment effect of infrared camera and LiDAR using visible light scheme; (c) alignment effect of proposed infrared camera and LiDAR
Fig. 16. Comparison of registration projection effects. (a) Visible light registration effect in foggy weather; (b) infrared registration effect in foggy weather; (c) night visible light registration effect; (d) night infrared registration effect
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Zhaofei Xu, Jian Liao, Hongcheng Wang, Chong Kang, Wei He, Wuyue Wang. Research on Infrared and LiDAR Calibration Algorithm for Road Scene[J]. Laser & Optoelectronics Progress, 2024, 61(14): 1428007
Category: Remote Sensing and Sensors
Received: Nov. 1, 2023
Accepted: Dec. 21, 2023
Published Online: Jul. 11, 2024
The Author Email: Liao Jian (liaojian0911@163.com)