• Laser & Optoelectronics Progress
  • Vol. 58, Issue 22, 2215002 (2021)
Chunjian Hua1、2、*, Rui Pan1、2, and Ying Chen3
Author Affiliations
  • 1School of Mechanical Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
  • 2Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment & Technology, Wuxi, Jiangsu 214122, China;
  • 3School of Internet of Things Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
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    DOI: 10.3788/LOP202158.2215002 Cite this Article Set citation alerts
    Chunjian Hua, Rui Pan, Ying Chen. Binocular Ranging Method Based on Improved ORB-RANSAC[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2215002 Copy Citation Text show less
    Structure of the epipolar constraint. (a) Convergent structure; (b) parallel structure
    Fig. 1. Structure of the epipolar constraint. (a) Convergent structure; (b) parallel structure
    Results of the epipolar correction. (a) Original image; (b) corrected image
    Fig. 2. Results of the epipolar correction. (a) Original image; (b) corrected image
    Structure of k-dimensional tree
    Fig. 3. Structure of k-dimensional tree
    Flow chart of the improve RANSAC method
    Fig. 4. Flow chart of the improve RANSAC method
    Feature matching results of different methods. (a) ORB; (b) ORB-RANSAC; (c) our method
    Fig. 5. Feature matching results of different methods. (a) ORB; (b) ORB-RANSAC; (c) our method
    ParameterLeft cameraRight camera
    Internal parameter2178.270610.9602175.49506.770012181.220640.7402186.80546.99001
    Distortion-0.1340.8210.0020.0009-4.576-0.2191.4750.0040.007-6.443
    Rotation matrix0.9976-0.0084-0.06870.00140.9949-0.10070.06920.10030.9925
    Translation matrix-187.67911.3603-12.5848T
    Table 1. Binocular calibration results
    ImageOriginal numberAfter epipolar constraintAfter order constraintAfter RANSAC
    Vehicle232217189169
    Human193181145126
    Table 2. Screening results of matching points in each step of our method
    MethodMatched pairCorrect matchCorrect rate /%Time /ms
    ORB23218579.770.2
    ORB-RANSAC18918497.377.8
    Ours16916798.876.3
    Table 3. Matching results of different methods on vehicle obstacle images
    MethodMatched pairCorrect matchCorrect rate /%Time /ms
    ORB19315982.469.6
    ORB-RANSAC14013797.872.2
    Ours12612498.471.2
    Table 4. Matching results of different methods on passerby obstacle images
    NumberLeft image coordinateRight image coordinateActual coordinates /m
    1(296.507, 321.013)(296.285, 300.480)(2.2855, 1.9014, -25.3138)
    2(300.761, 261.101)(300.409, 240.930)(2.2877, 2.4962, -25.7667)
    3(296.948, 368.129)(296.460, 347.887)(2.3194, 1.4921, -25.6768)
    4(216.032, 719.462)(216.366, 701.969)(3.5133, -2.0448, -29.7122)
    5(250.254, 641.423)(250.399, 624.064)(3.2014,-1.2149, -29.9411)
    6(320.500, 732.100)(315.594, 714.438)(2.4056, -2.1744, 29.5954)
    Table 5. Sub-pixel coordinate experiment
    Ref. [17]Actual distance /mMeasuring distance /mError /mRelative error /%Time /s
    154.8080.1923.840.10825
    2109.6890.3113.110.11358
    31516.0851.0156.760.10433
    42021.2261.2266.130.10957
    Average--0.6864.960.10893
    Table 6. Ranging results of Ref. [17]
    Ref. [18]Actual distance /mMeasuring distance /mError /mRelative error/%Time /s
    154.7860.2144.280.08125
    2109.5680.4324.320.08756
    31516.1241.1247.490.07812
    42021.6261.6268.130.07628
    Average--0.8496.060.08080
    Table 7. Ranging results of Ref. [18]
    OursActual distance /mMeasuring distance /mError /mRelative error /%Time /s
    154.8740.1262.520.09097
    2109.7810.2192.190.09228
    31515.6590.6594.390.08814
    42020.9980.9984.990.08557
    Average--0.50053.520.08924
    Table 8. Ranging results of our method
    Chunjian Hua, Rui Pan, Ying Chen. Binocular Ranging Method Based on Improved ORB-RANSAC[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2215002
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