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논문 기본 정보

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(한국과학기술원) (한국과학기술원) (한국과학기술원) (한국과학기술원) (가천대학교)
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한국자동차공학회 한국자동차공학회논문집 한국자동차공학회논문집 제30권 제10호
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피인용 28

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    초록·키워드

    Autonomous driving is not a new concept, and relevant technology has been developed for a long time. However, in recent years, autonomous driving technology has been leaping forward, fueled by the advance of AI-based technologies. In particular, the essential components of autonomous driving, such as perception, prediction, and planning, deliver entirely different performances from those of the pre-AI era. In this study, the trends and development of autonomous driving technology will be analyzed by decomposing it into element technologies ranging from perception, prediction, and planning, focusing on AI-based research. For the perception part, LiDAR and camera-based research and sensor fusion technologies will be examined. For the prediction part, we will look into various prediction paradigms such as interaction-aware and map-based prediction. The planning part will cover maneuver decisions, motion planning, and reinforcement learning-based methods.

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      UCI(KEPA) : I410-ECN-0101-2023-556-000130195