A Comparative Study on Camera-Radar Calibration Methods
作者： Jiyong Oh , Ki-Seok Kim , Miryong Park , Sungho Kim
DOI: 10.1109/ICARCV.2018.8581329
关键词: Advanced driver assistance systems 、 Radar calibration 、 Video tracking 、 Calibration (statistics) 、 Multiple sensors 、 Radar 、 Obstacle 、 Artificial intelligence 、 Computer vision 、 Computer science
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 methods have compared the literature qualitatively quantitatively. In this paper, we compare three types of presented previous studies fusing camera radar terms accuracy. Especially, comparison conducted situation varying number radar-image data pairs used calibration. Experimental results show that one type appropriated to calibration, belonging other provide quite similar
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