Autonomous driving semantic segmentation with convolution neural networks-Reference-Cited by-同舟云学术

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Autonomous driving semantic segmentation with convolution neural networks

Published:2019 Issue:11 Volume:27 Page:2429-2438
ISSN:1004-924X
Container-title:Optics and Precision Engineering
language:en
Short-container-title:光学精密工程

Author:

WANG Zhong-yu 王中宇,NI Xian-yang 倪显扬,SHANG Zhen-dong 尚振东

Publisher

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences

Subject

Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Location and segmentation of important railway signs based on improved segmentation;Smart and Resilient Transportation;2024-01-23

2. Research on Semantic Segmentation Algorithm for Autonomous Driving Based on Improved DeepLabv3+;Lecture Notes in Electrical Engineering;2024

3. Low-Visibility Vehicle-Road Environment Perception Based on the Multi-Modal Visual Features Fusion of Polarization and Infrared;IEEE Transactions on Intelligent Transportation Systems;2023-11

4. Semantic segmentation of remote sensing images combined with attention mechanism and feature enhancement U-Net;International Journal of Remote Sensing;2023-10-02

5. Improved DeepLabV3+ Network Segmentation Method for Urban Road Scenes;2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC);2022-06-17

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