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내장 그래픽 칩 기반 머신 러닝과 딥러닝의 알고리즘 융합을 활용한 실시간 교통 신호인지
Recognition of Real-time Traffic Signals Using the Algorithm Fusion of On-board Graphic Chip-based Machine Learning and Deep Learning
- 이재욱;
- 백승범;
- 최은지;
- 문희창
Citations
SCOPUS
3초록
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.
키워드
Deep Learning; Machine learning; Image Processing; Autonomous Driving Algorithm; .
- 제목
- 내장 그래픽 칩 기반 머신 러닝과 딥러닝의 알고리즘 융합을 활용한 실시간 교통 신호인지
- 제목 (타언어)
- Recognition of Real-time Traffic Signals Using the Algorithm Fusion of On-board Graphic Chip-based Machine Learning and Deep Learning
- 저자
- 이재욱; 백승범; 최은지; 문희창
- 발행일
- 2022-01-01
- 저널명
- 제어.로봇.시스템학회 논문지
- 권
- 28
- 호
- 2
- 페이지
- 88 ~ 94