loading
Documents

Research.Publish.Connect.

Paper

Authors: Tien-Wen Yeh 1 and Huei-Yung Lin 2

Affiliations: 1 Department of Electrical Engineering, National Chung Cheng University, Chiayi 621, Taiwan ; 2 Department of Electrical Engineering and Advanced Institute of Manufacturing with High-tech Innovations National Chung Cheng University, Chiayi 621, Taiwan

ISBN: 978-989-758-419-0

Keyword(s): Traffic Light Detection, Traffic Light Recognition, Arrow Traffic Signal.

Abstract: This paper develops a traffic light detection and recognition system based on convolutional neural networks for Taiwan road scenes. A two-stage approach is proposed with first detecting the traffic light position, followed by the light state recognition. It is specifically designed to identify the challenging arrow signal lights in many urban traffic scenes. In the detection stage, the map information and two cameras with different focal lengths are used to detect the traffic lights at different distances. In the recognition stage, a new method combining object detection and classification is proposed to deal with various light state classes in Taiwan road scenes. Furthermore, an end-to-end network with shared feature maps is implemented to reduce the computation time. Experiments are carried out on the public LISA dataset and our own dataset collected from two routes with urban traffic scenes.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.208.126.130

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Yeh, T. and Lin, H. (2020). Detection and Recognition of Arrow Traffic Signals using a Two-stage Neural Network Structure.In Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-419-0, pages 322-330. DOI: 10.5220/0009345203220330

@conference{vehits20,
author={Tien{-}Wen Yeh. and Huei{-}Yung Lin.},
title={Detection and Recognition of Arrow Traffic Signals using a Two-stage Neural Network Structure},
booktitle={Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2020},
pages={322-330},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009345203220330},
isbn={978-989-758-419-0},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Detection and Recognition of Arrow Traffic Signals using a Two-stage Neural Network Structure
SN - 978-989-758-419-0
AU - Yeh, T.
AU - Lin, H.
PY - 2020
SP - 322
EP - 330
DO - 10.5220/0009345203220330

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.