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카메라-라이다 센서 융합을 위한 캘리브레이션 기법 소개open accessMulti-Sensor Calibration Techniques for Camera-LiDAR Sensor Fusion

Other Titles
Multi-Sensor Calibration Techniques for Camera-LiDAR Sensor Fusion
Authors
배종욱이영우고준호이재영최준원
Issue Date
Oct-2022
Publisher
한국자동차공학회
Keywords
Autonomous driving; Sensor fusion; Calibration; Deep-learning; Camera; LiDAR; 자율주행; 센서융합; 캘리브레이션; 딥러닝; 카메라; 라이다
Citation
한국자동차공학회 논문집, v.30, no.10, pp.849 - 858
Indexed
SCOPUS
KCI
Journal Title
한국자동차공학회 논문집
Volume
30
Number
10
Start Page
849
End Page
858
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/172972
DOI
10.7467/KSAE.2022.30.10.849
ISSN
1225-6382
Abstract
In autonomous vehicles or robots, multiple sensors are used to achieve robust performance in a variety of perception tasks. Multi-sensor calibration is required to establish a spatial correspondence between different sensor coordinates. Camera-LiDAR calibration calculates the external parameters for transforming the representation of sensor data between the camera and LiDAR domains. In this paper, several camera-LiDAR calibration methods are reviewed and their practical applications are discussed. We demonstrate the application of the checkerboard-based camera-LiDAR calibration to a military armed vehicle equipped with Velodyne VLP-32C LiDAR sensor and Kaya Iron SDI 265 camera. We present the experimental results and discuss the practical tips for camera-LiDAR calibration.
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서울 공과대학 > 서울 전기공학전공 > 1. Journal Articles

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