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Article

Traffic Light and Arrow Signal Recognition Based on a Unified Network

1
Department of Electrical Engineering, National Chung Cheng University, Chiayi 621, Taiwan
2
Advanced Institute of Manufacturing with High-Tech Innovations, National Chung Cheng University, Chiayi 621, Taiwan
3
Department of Computer Science and Information Engineering, National United University, Miaoli 360, Taiwan
*
Author to whom correspondence should be addressed.
Academic Editor: Darko Babić
Appl. Sci. 2021, 11(17), 8066; https://doi.org/10.3390/app11178066
Received: 1 August 2021 / Revised: 25 August 2021 / Accepted: 30 August 2021 / Published: 31 August 2021
(This article belongs to the Special Issue Traffic Sign Detection and Recognition)
We present a traffic light detection and recognition approach for traffic lights that utilizes convolutional neural networks. We also introduce a technique for identifying arrow signal lights in multiple urban traffic environments. For detection, we use map data and two different focal length cameras for traffic light detection at various distances. For recognition, we propose a new algorithm that combines object detection and classification to recognize the light state classes of traffic lights. Furthermore, we use a unified network by sharing features to decrease computation time. The results reveal that the proposed approach enables high-performance traffic light detection and recognition. View Full-Text
Keywords: autonomous vehicle; computer vision; traffic light recognition; convolutional neural networks autonomous vehicle; computer vision; traffic light recognition; convolutional neural networks
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MDPI and ACS Style

Yeh, T.-W.; Lin, H.-Y.; Chang, C.-C. Traffic Light and Arrow Signal Recognition Based on a Unified Network. Appl. Sci. 2021, 11, 8066. https://doi.org/10.3390/app11178066

AMA Style

Yeh T-W, Lin H-Y, Chang C-C. Traffic Light and Arrow Signal Recognition Based on a Unified Network. Applied Sciences. 2021; 11(17):8066. https://doi.org/10.3390/app11178066

Chicago/Turabian Style

Yeh, Tien-Wen, Huei-Yung Lin, and Chin-Chen Chang. 2021. "Traffic Light and Arrow Signal Recognition Based on a Unified Network" Applied Sciences 11, no. 17: 8066. https://doi.org/10.3390/app11178066

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