Current Result Document :
| 한글제목(Korean Title) |
이종센서 융합을 통한 산업 환경 안전 감지 시스템 |
| 영문제목(English Title) |
Multi-sensor fusion based industrial environments safety detection system |
| 저자(Author) |
김다현
강수람
조완현
나명환
박영식
김상균
Dahyun Kim
Sooram Kang
Wanhyun Cho
Myunghwan Na
Youngsik Park
Sangkyoon Kim
손진영
김용휘
이승주
Jin-Yeong Son
Yong-Hwi Kim
Seong-Joo Lee
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| 원문수록처(Citation) |
VOL 45 NO. 01 PP. 2440 ~ 2442 (2022. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
We propose a safety system using LiDAR and camera sensors fusion to reduce accidents occurring in industrial environments. This safety system uses YOLOv5 to detect objects (workers, heavy equipment, etc.) in industrial environments. Distance information to the detected objects utilizes camera and LiDAR fusion information. Calibration was used for camera and LiDAR sensor fusion. Coordinate system matching through calibration enables sensor fusion. The driver can obtain information about the existence of an object and the distance of the detected object. Through the experiment, the detection rate and accuracy of the object detection and the accuracy of the safety detection can be confirmed as 95% of the detection rate and accuracy. In this way, the driver can detect the objects in the blind spot area and make it possible to prevent accidents. |
| 키워드(Keyword) |
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| 파일첨부 |
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