Pedestrian Detection for Autonomous Cars: Occlusion Handling by Classifying Body Parts-Reference-Cited by-同舟云学术

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Pedestrian Detection for Autonomous Cars: Occlusion Handling by Classifying Body Parts

Published:2020-10-11 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
language:
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Author:

Islam Muhammad Mobaidul,Al Redwan Newaz Abdullah,Gokaraju Balakrishna,Karimoddini Ali

Funder

North Carolina Department of Transportation

National Science Foundation

Air Force Research Laboratory

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9282733/9282811/09282839.pdf?arnumber=9282839

Cited by 11 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. Regional feature fusion for on-road detection of objects using camera and 3D-LiDAR in high-speed autonomous vehicles;Soft Computing;2023-10-03

2. Occlusion and multi-scale pedestrian detection A review;Array;2023-09

3. A review of occluded objects detection in real complex scenarios for autonomous driving;Green Energy and Intelligent Transportation;2023-06

4. Connected autonomous vehicles: State of practice;Applied Stochastic Models in Business and Industry;2023-05-25

5. Exploration of issues, challenges and latest developments in autonomous cars;Journal of Big Data;2023-05-06

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