Object Recognition and Distance Extraction System Using Camera

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초록

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
DOI
10.1109/ICAIIC51459.2021.9415219
발행일
2021
유형
Proceedings Paper
저널명
3RD INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN INFORMATION AND COMMUNICATION (IEEE ICAIIC 2021)
페이지
114 ~ 116