Optics and Precision Engineering, Volume. 33, Issue 12, 1929(2025)
Inverse perspective mapping of pavement image combining semantic and 3D information
Figures & Tables(8)
Fig. 1. Perspective distortion correction process for pavement images
Fig. 2. Position relation between camera coordinate system and road coordinate system
Fig. 5. Perspective distortion correction results of each method when parameters change
Fig. 7. IPM results of camera shot position to any reference point
Table 1. Perspective distortion correction error when camera position changes
View tableView in ArticleTable 1. Perspective distortion correction error when camera position changes
Camera pose Perspective distortion correction error Contrast method 1 Contrast method 2 Contrast method 3 Proposed method Pitch 20° 30.894 30.894 0.028 0.016 Pitch 25° 24.009 24.009 0.020 0.016 Pitch 30° 19.580 19.580 0.035 0.052 Pitch 35° 15.054 15.054 0.020 0.014 Pitch 40° 11.021 11.021 0.030 0.021 Yaw 5° 20.570 136.682 0.058 0.057 Yaw 10° 20.657 270.397 0.044 0.040 Roll 2° 222.405 212.739 259.076 0.016 Roll 5° 564.880 545.245 661.983 0.025 Height 1.6 m 19.363 671.800 0.016 0.005 Height 1.4 m 18.878 726.620 0.020 0.005
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Xiaohua XIA, Xiaofei GAO, Zhiwei DUAN, Xinmiao FENG. Inverse perspective mapping of pavement image combining semantic and 3D information[J]. Optics and Precision Engineering, 2025, 33(12): 1929
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Received: Dec. 11, 2024
Accepted: --
Published Online: Aug. 15, 2025
The Author Email: Xiaohua XIA (xhxia@chd.edu.cn)
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