Real-time segmentation algorithm of unstructured road scenes based on improved BiSeNet-Reference-Cited by-同舟云学术

Real-time segmentation algorithm of unstructured road scenes based on improved BiSeNet

Published:2024-05-12 Issue:3 Volume:21 Page:
ISSN:1861-8200
Container-title:Journal of Real-Time Image Processing
language:en
Short-container-title:J Real-Time Image Proc

Author:

Bai Chunhui,Zhang Lilian,Gao Lutao,Peng Lin,Li Peishan,Yang Linnan

Funder

Yunnan Provincial Science and Technology Major Project “Application and Demonstration of Digital Rural Governance Based on Big Data and Artificial Intelligence”

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11554-024-01472-2.pdf

Reference34 articles.

1. Muhammad, K., Hussain, T., Ullah, H., et al.: Vision-based semantic segmentation in scene understanding for autonomous driving: recent achievements, challenges, and outlooks. IEEE Trans. Intell. Transp. Syst. 23(12), 22694–22715 (2022)

2. Zheng, T., Huang, Y., Liu, Y., et al.: Clrnet: cross layer refinement network for lane detection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 898–907 (2022)

3. Oğuz, E., Küçükmanisa, A., Duvar, R., et al.: A deep learning based fast lane detection approach. Chaos Solitons Fract. 155, 111722 (2022)

4. Lee, D.H., Liu, J.L.: End-to-end deep learning of lane detection and path prediction for real-time autonomous driving. SIViP 17(1), 199–205 (2023)

5. Chen, J., Jia, K., Chen, W., et al.: A real-time and high-precision method for small traffic-signs recognition. Neural Comput. Appl. 34(3), 2233–2245 (2022)

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