Recognition of Real-time Traffic Signals Using the Algorithm Fusion of On-board Graphic Chip-based Machine Learning and Deep Learning

被引：0

作者：

Lee J. ^{[1
]}

Baek S. ^{[1
]}

Choi E. ^{[2
]}

Moon H. ^{[2
]}

机构：

[1] Industrial Convergence Interdepartmental Program Autonomous Vehicle·Intelligent Robotics, Hongik University

[2] Mechanical and System Design Engineering, Hongik University

来源：

Journal of Institute of Control, Robotics and Systems | 2022年 / 28卷 / 02期

关键词：

Autonomous Driving Algorithm; Deep Learning; Image Processing; Machine learning;

D O I：

10.5302/J.ICROS.2022.21.0196

中图分类号：

学科分类号：

摘要：

The recognition of traffic light in unmanned autonomous driving is one of the key functions. In general, to achieve this goal, deep learning and image processing technology are mainly used in autonomous driving industry. Both technologies have high recognition rates alone, but misrecognition can occur because of interference of the environment. misrecognitions are considered important problem because it may lead to big accidents. In this paper, we suggest using machine learning based on LabVIEW and deep running grounded in Python to increase recognition rate at intersection. By using both technologies, we can minimize the impact of the environment on traffic light recognition and reduce misrecognition. © ICROS 2022.

引用

页码：88 / 94

页数：6

共 13 条

[1]

Park C.H., Kee S.C., Implementation of autonomous driving system in the intersection area equipped with traffic lights, Transactions of Ksae(The Korean Society of Automotive Engineers, 27, 5, pp. 379-387, (2019)

[2]

Choi J.Y., Nam H.W., Jung J.H., Implementation of yoga pose estimation based on OpenVINO and raspberry Pi, The Society of Convergence Knowledge Transactions, 9, 1, pp. 85-93, (2021)

[3]

Lee Y.H., Kim Y.S., Comparison of CNN and YOLO for object detection, Journal of the Semiconductor & Display Technology, 19, 1, (2020)

[4]

Geiger A., Lenz P., Stiller C., Urtasun R., Vision meets robotics: The KITTI dataset, The International Journal of Robotics Research, 32, 11, pp. 1231-1237, (2013)

[5]

Lee J.S., Choi K.T., Park T.H., Kee S.C., A study on the vehicle detection and tracking using forward wide angle camera, Transactions of Ksae(The Korean Society of Automotive Engineers, 26, 3, pp. 368-377, (2018)

[6]

Gazis D., Herman R., Maradudin A., The problem of the amber signal light in traffic flow, Operations Research, 8, pp. 112-132, (1960)

[7]

Kim S.Y., Lee J.H., EKF based mobile robot indoor localization using pattern matching, The Journal of Korea Robotics Society ) Journal, 7, 1, pp. 45-56, (2012)

[8]

Chang J.H., Jung K.H., Effects of traffic signals with a countdown indicator: Driver's reaction time and subjective satisfaction in driving simulation, Journal of the Ergonomics Society of Korea, 34, 5, pp. 459-466, (2017)

[9]

Lee Y.H., Kim Y.S., Implementation of object feature extraction within image for object tracking, Journal of Semiconductor and Display Technology, 17, 3, (2018)

[10]

Abrams R.A., Meyer D.E., Kornblum S., Speed and accuracy of saccadic eye movements: Characteristics of impulse variability in the oculomotor system, Journal of Experimental Psychology, 15, 3, pp. 529-543, (1989)

← 1 2 →