Acta Optica Sinica, Volume. 41, Issue 22, 2215002(2021)
Semantic Visual Odometry Based on Panoramic Annular Imaging
Fig. 5. Correspondence search along epipolar curve under semantic guidance. (a) One of the keypoints; (b) searching matching points along polar curve under semantic guidance
Fig. 6. Keypoints extraction under semantic guidance. (a) Semantic segmentation result; (b) confidence distribution; (c) original keypoints extraction; (d) keypoints extraction under semantic guidance
Fig. 7. Experiment setup. (a) Remote control vehicle; (b) PAL image expands to a perspective image
Fig. 8. Effectiveness test of keypoints extraction under semantic guidance. (a) Proportion of inliers with/without semantic guidance; (b) RANSAC convergence probability with/without semantic guidance
Fig. 9. Error between trajectory estimated by PASVO and reference trajectory in the accuracy test. (a) S1; (b) S5; (c) S6
Fig. 10. Trajectories estimated by the different algorithms on the large-scale dataset. The black dot represents the starting point, and dots with different colors denote the end points of the trajectory estimated by different algorithms
|
|
Get Citation
Copy Citation Text
Hao Chen, Kailun Yang, Weijian Hu, Jian Bai, Kaiwei Wang. Semantic Visual Odometry Based on Panoramic Annular Imaging[J]. Acta Optica Sinica, 2021, 41(22): 2215002
Category: Machine Vision
Received: Mar. 18, 2021
Accepted: Jun. 3, 2021
Published Online: Nov. 21, 2021
The Author Email: Wang Kaiwei (wangkaiwei@zju.edu.cn)