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Rapid Detection of Blind Roads and Crosswalks by Using a Lightweight Semantic Segmentation Network

  • Published:2021-10 Issue:10 Volume:22 Page:6188-6197
  • ISSN:1524-9050
  • Container-title:IEEE Transactions on Intelligent Transportation Systems
  • language:
  • Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Cao ZhengcaiORCID,Xu XiaowenORCID,Hu BiaoORCID,Zhou MengChuORCID

Funder

Beijing Leading Talents Program

National Key Research and Development Program of China

National Natural Science Foundation of China

Beijing Municipal Natural Science Foundation

The Deanship of Scientific Research (DSR) at King Abdulaziz University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Cited by 42 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. A TinyML model for sidewalk obstacle detection: aiding the blind and visually impaired people;Multimedia Tools and Applications;2024-09-03

2. ANALYSIS OF DIFFERENT POOLING FUNCTIONS ON A CONVOLUTION NEURAL NETWORK BASED MODEL;International Journal of 3D Printing Technologies and Digital Industry;2024-08-30

3. MSSP: A Multi-view Benchmark for Street Scene Perception in Assistive Navigation;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. SPVINet: A Lightweight Multitask Learning Network for Assisting Visually Impaired People in Multiscene Perception;IEEE Internet of Things Journal;2024-06-01

5. End-to-end Semantic Segmentation Network for Low-Light Scenes;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
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