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Traffic light recognition using high-definition map features

  • Published:2019-01 Issue: Volume:111 Page:62-72
  • ISSN:0921-8890
  • Container-title:Robotics and Autonomous Systems
  • language:en
  • Short-container-title:Robotics and Autonomous Systems

Author:

Hirabayashi Manato,Sujiwo Adi,Monrroy Abraham,Kato Shinpei,Edahiro Masato

Funder

CREST, Japan

Publisher

Elsevier BV

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference26 articles.

1. Cabinet Office Japan, Annual Report on the Aging Society [Japanese full version] FY 2014, Japanese Government, 2014.

2. Ministry of Economy, Trade and Industry, Japan, METI Journal, Japanese Government, 2014.

3. Traffic Light Recognition from the Video Image of Home Video Camera, Tech. rep.;Mori,2012

4. Traffic light detection with color and edge information;Omachi,2009

5. Traffic light recognition using image processing compared to learning processes;de Charette,2009

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2. A new traffic signal detection system with high robustness and real-time requirements;Third International Conference on Signal Image Processing and Communication (ICSIPC 2023);2023-10-20

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

4. Robust real-time traffic light detector on small-form platform for autonomous vehicles;Journal of Intelligent Transportation Systems;2023-05-02

5. High Definition Map Aided Object Detection for Autonomous Driving in Urban Areas;International Journal of Automotive Technology;2023-03-18
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