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Road-boundary detection is important for autonomous driving.
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P. Sun, X. Zhao, Z. Xu, R. Wang, and H. Min, “A 3d lidar data-based dedicated road boundary detection algorithm for autonomous vehicles,” IEEE Access , vol. 7, pp. 29 623–29 638, 2019
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H. Wang, Y. Sun, and M. Liu, “Self-supervised drivable area and road anomaly segmentation using rgb-d data for robotic wheelchairs,” IEEE Robotics and Automation Letters , vol. 4, no. 4, pp. 4386–4393, 2019
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A. Batra, S. Singh, G. Pang, S. Basu, C. Jawahar, and M. Paluri, “Improved road connectivity by joint learning of orientation and segmentation,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2019, pp. 10 385–10 393
2019
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N. Homayounfar, W.-C. Ma, J. Liang, X. Wu, J. Fan, and R. Urtasun, “Dagmapper: Learning to map by discovering lane topology,” in Proceedings of the IEEE International Conference on Computer Vision , 2019, pp. 2911–2920
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2020
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Z. Xu, Y. Sun, and M. Liu, “icurb: Imitation learning-based detection of road curbs using aerial images for autonomous driving,” IEEE Robotics and Automation Letters , vol. 6, no. 2, pp. 1097–1104, 2021
2021
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