• Laser & Optoelectronics Progress
  • Vol. 55, Issue 12, 121014 (2018)
Chunyang Cheng1, Yuanbo Huang1, Xin Lu1, Lingli Xu1, Min Li1, Xinnan Fan1、2, and Xuewu Zhang1、2、*
Author Affiliations
  • 1 College of Internet of Things Engineering, Hohai University, Changzhou, Jiangsu 213022, China
  • 2 Collaborative Innovation Center of World Water Valley and Water Ecological Civilization, Nanjing, Jiangsu 211100, China
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    DOI: 10.3788/LOP55.121014 Cite this Article Set citation alerts
    Chunyang Cheng, Yuanbo Huang, Xin Lu, Lingli Xu, Min Li, Xinnan Fan, Xuewu Zhang. Lane Detection Based on Active Infrared Filter and Around-View Imaging[J]. Laser & Optoelectronics Progress, 2018, 55(12): 121014 Copy Citation Text show less
    Active infrared filter imaging system
    Fig. 1. Active infrared filter imaging system
    Spectral response curve of CCD camera
    Fig. 2. Spectral response curve of CCD camera
    Setup for around-view imaging. (a) Calibration model; (b) around-view image
    Fig. 3. Setup for around-view imaging. (a) Calibration model; (b) around-view image
    Process of lane detection
    Fig. 4. Process of lane detection
    Procedure for lane detection. (a) Segmentation of road background; (b) left and right edge point; (c) clustering result
    Fig. 5. Procedure for lane detection. (a) Segmentation of road background; (b) left and right edge point; (c) clustering result
    Template of lane marking
    Fig. 6. Template of lane marking
    Contrast of imaging effect. (a) Imaging effect of color CCD in daytime; (b) imaging effect of infrared filter in daytime; (c) imaging effect of color CCD in night; (d) imaging effect of infrared filter in night
    Fig. 7. Contrast of imaging effect. (a) Imaging effect of color CCD in daytime; (b) imaging effect of infrared filter in daytime; (c) imaging effect of color CCD in night; (d) imaging effect of infrared filter in night
    Results of lane detection. (a)(b) Arrows; (c)(d) words; (e)(f) guide lines; (g)(h) covered by cars; (i)-(l) changing lanes
    Fig. 8. Results of lane detection. (a)(b) Arrows; (c)(d) words; (e)(f) guide lines; (g)(h) covered by cars; (i)-(l) changing lanes
    Lane detection results for 1000 consecutive frames
    Fig. 9. Lane detection results for 1000 consecutive frames
    AlgorithmCorrectMissIncorrect
    DayNightDayNightDayNight
    Algorithm in Ref. [25]97.23-2.77---
    Algorithm in Ref. [26]98.0597.231.642.220.310.55
    Proposed algorithm97.9797.451.582.120.450.43
    Table 1. Performance comparison of lane detection system%
    Chunyang Cheng, Yuanbo Huang, Xin Lu, Lingli Xu, Min Li, Xinnan Fan, Xuewu Zhang. Lane Detection Based on Active Infrared Filter and Around-View Imaging[J]. Laser & Optoelectronics Progress, 2018, 55(12): 121014
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