Implementation and Validation of Traffic Light Recognition Algorithm for Low-speed Special Purpose Vehicles in an Urban Autonomous Environment

Wonsub Yun; Jongtak Kim; Myeonggyu Lee; Wongun Kim

doi:10.22680/kasa2022.14.4.006

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2022 Vol.14, Issue 4 Next Page

Implementation and Validation of Traffic Light Recognition Algorithm for Low-speed Special Purpose Vehicles in an Urban Autonomous Environment 저속 특장차의 도심 자율주행을 위한 신호등 인지 알고리즘 적용 및 검증

31 December 2022. pp. 6-15

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Abstract

In this study, a traffic light recognition algorithm was implemented and validated for low-speed special purpose vehicles in an urban environment. Real-time image data using a camera and YOLO algorithm were applied. Two methods were presented to increase the accuracy of the traffic light recognition algorithm, and it was confirmed that the second method had the higher accuracy according to the traffic light type. In addition, it was confirmed that the optimal YOLO algorithm was YOLO v5m, which has over 98% mAP values and higher efficiency. In the future, it is thought that the traffic light recognition algorithm can be used as a dual system to secure the platform safety in the traffic information error of C-ITS.

Keywords

Low-speed unmanned special vehicle

Deep Learning

Traffic light recognition Algorithm

Real-Time Object Detection

YOLO algorithm

키워드

저속 무인 특장차

딥러닝

신호등 인지 알고리즘

실시간 사물 감지

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Information

Publisher :Korean Auto-vehicle Safety Association
Publisher(Ko) :한국자동차안전학회
Journal Title :Journal of Auto-vehicle Safety Association
Journal Title(Ko) :자동차안전학회지
Volume : 14
No :4
Pages :6-15
Received Date : 2021-09-10
Revised Date : 2022-11-16
Accepted Date : 2022-11-16
DOI :https://doi.org/10.22680/kasa2022.14.4.006

Journal of Auto-vehicle Safety Association ISSN:2005-9396(Print) 자동차안전학회지

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