상세 보기
초록
This paper proposes an algorithm for parking assist system. It detects a parking slot and estimates the pose of the parking slot. User touches the parking slot that wants to park at the display showing rear view. Then, an ROI is set based on the touch point. Parking slot is detected in the ROI using Hough transform. NCC (Normalized Cross Correlation) is used to get the pose of parking slot. It successfully detects parking slot and estimates the pose. But, there is a problem due to the scene change causing variation of parking slot at rear view when vehicle enters the parking slot. To solve this problem, the process of pose estimation is separated into phase 1 and phase 2 according to applied template shape.
키워드
Parking assist system; Parking slot detection; Parking slot pose estimation; Rear monocular camera; Hough transforms; Autonomous Parking; Hough space; Monocular cameras; Normalized cross correlation; Phase 1; Pose estimation; Scene change; Touch-points; Digital integrated circuits
- 제목
- A method of detecting parking slot in hough space and pose estimation using rear view image for autonomous parking system
- 저자
- Kim, Seung-Hyun; Kim, Joong-Sik; Kim, Whoi-Yul
- 발행일
- 2017-07
- 유형
- Conference Paper
- 저널명
- Proceedings of 2016 5th International Conference on Network Infrastructure and Digital Content, IEEE IC-NIDC 2016
- 페이지
- 452 ~ 454