Traffic Signal Detection and Recognition Algorithms for Autonomous Vehicles: A Brief Review-Reference-Cited by-同舟云学术

Traffic Signal Detection and Recognition Algorithms for Autonomous Vehicles: A Brief Review

Published:2024-10 Issue:10 Volume:150 Page:
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Sarker Tonmoy¹^ORCID,Meng Xiangyu²^ORCID

Affiliation:

1. Ph.D. Candidate, Division of Electrical and Computer Engineering, Louisiana State Univ., Baton Rouge, LA 70803. ORCID: .

2. Assistant Professor, Division of Electrical and Computer Engineering, Louisiana State Univ., Baton Rouge, LA 70803 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JTEPBS.TEENG-8056

Reference106 articles.

1. Mobile standards-based traffic light detection in assistive devices for individuals with color-vision deficiency;Almagambetov A.;IEEE Trans. Intell. Transp. Syst.,2014

2. Al-Nabulsi J. A. Mesleh and A. Yunis. 2017. “Traffic light detection for colorblind individuals.” In Proc. 2017 IEEE Jordan Conf. on Applied Electrical Engineering and Computing Technologies (AEECT) 1–6. New York: IEEE.

3. An overview of vehicular communications;Arena F.;Future Internet,2019

4. Barnes D. W. Maddern and I. Posner. 2015. “Exploiting 3D semantic scene priors for online traffic light interpretation.” In Proc. 2015 IEEE Intelligent Vehicles Symp. (IV) 573–578. New York: IEEE.

5. Behrendt K. L. Novak and R. Botros. 2017. “A deep learning approach to traffic lights: Detection tracking and classification.” In Proc. 2017 IEEE Int. Conf. on Robotics and Automation (ICRA) 1370–1377. New York: IEEE.