Meng Ding, Xinyan Jiang. Scene Depth Estimation Based on Monocular Vision in Advanced Driving Assistance System[J]. Acta Optica Sinica, 2020, 40(17): 1715001
- Acta Optica Sinica
- Vol. 40, Issue 17, 1715001 (2020)
Fig. 1. Principle based on binocular reconstruction method
Fig. 2. Depth of field estimation and loss function based on left and right views
Fig. 3. Principle of multi scale unified operation
Fig. 4. Flow chart of our network
Fig. 5. Evaluation indicators of the four methods (KITTI dataset). (a) AbsRel; (b) RMSE
Fig. 6. Depth estimation results on the KITTI dataset. (a) Original image; (b) true value; (c) method of Ref.[14]; (d) method of Ref.[17]; (e) method of Ref.[20]; (f) our method
Fig. 7. Evaluation indicators of the four methods (Make3D dataset). (a) AbsRel; (b) RMSE
Fig. 8. Depth estimation results of outdoor roads.(a) Original image; (b) estimated result of depth of field
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Table 1. XCRR obtained by different thresholds (KITTI dataset)unit: %
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Table 2. XCRR obtained by different thresholds (Make3D dataset)unit: %
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