校准
计算机科学
人工智能
计算机视觉
雷达
遥感
摄像机切除
雷达成像
合成孔径雷达
连续波雷达
雷达工程细节
双基地雷达
雷达跟踪器
作者
Jiyong Oh,Ki-Seok Kim,Mi-Ryong Park,Sungho Kim
出处
期刊:International Conference on Control, Automation, Robotics and Vision
日期:2018-11-01
卷期号:: 1057-1062
被引量:3
标识
DOI:10.1109/icarcv.2018.8581329
摘要
Camera-radar fusion has been applied in obstacle detection or moving object tracking for autonomous vehicles and advanced driver assistance systems. When utilizing multiple sensors, their calibration is not only essential but also important because it gives great impacts on subsequent procedures. Nonetheless, camera-radar calibration methods have not been compared in the literature qualitatively or quantitatively. In this paper, we compare three types of the calibration methods presented in previous studies on fusing camera and radar in terms of calibration accuracy. Especially, the comparison is conducted in the situation of varying the number of radar-image data pairs used in their calibration. Experimental results show that one type of the methods is not appropriated to the camera-radar calibration, and the methods belonging to the other types provide quite similar accuracy.
科研通智能强力驱动
Strongly Powered by AbleSci AI