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Object Recognition and Distance Extraction System Using Camera
- Yoon, Youngjin;
- Han, Dongseok
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0초록
This paper proposes a system that detects an object around a vehicle and extracts the distance of the object through vehicle sensor fusion. Unlike the camera and lidar calibration method used in the past, in this paper, the region of interest (ROI) of the frame of the image received through the camera was divided by a 2x3 ratio to perform the lidar and calibration. In addition, we propose an algorithm that detects an object through only the camera using the correction coefficient obtained through calibration of the camera and lidar and indicates the distance of the classified object.
키워드
Autonomous driving; Object detections; Calibration; Sensor Fusion
- 제목
- Object Recognition and Distance Extraction System Using Camera
- 저자
- Yoon, Youngjin; Han, Dongseok
- 발행일
- 2021
- 유형
- Proceedings Paper
- 저널명
- 3RD INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN INFORMATION AND COMMUNICATION (IEEE ICAIIC 2021)
- 페이지
- 114 ~ 116
- 언어
- ENG
- 출판사
- IEEE
- 발행국가
- 미국
- 분량
- 3 페이지