OpenCV RANSAC 알고리즘 기반 자율 주행 자동차 구현

• 영문명: Autonomous Vehicle Implementation Based on OpenCV RANSAC Algorithm
• 발행기관: 한국산업기술융합학회(구. 산업기술교육훈련학회)
• 저자명: 이진우(Jin-Woo Lee) 이현(Hyun-Lee)
• 간행물 정보: 『한국산업기술융합학회 학술대회 논문집』2019년 전반기 학술대회 논문집, 59~63쪽, 전체 5쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2019.05.17

영문 초록

This paper summarizes the implementation of lane recognition using OpenCV, one of the open source computer vision libraries. The Linux operating system Rasbian(r18.03.13) was installed on the ARM processor-based Raspberry Pi 3 board, and Raspberry Pi Camera was used for image processing. In order to realize the lane recognition, Canny Edge Detection and Hough Transform algorithm implemented in OpenCV library was used and RANSAC algorithm was used to prevent shaking of vanishing point and to detect only the desired straight line. In addition, the DC motor and the Servo motor were controlled so that the vehicle would run according to the detected lane.

키워드

자율주행 영상처리 OpenCV RANSAC Raspberry Pi