@article{ref1,
title="Autonomous driving technology trend and future outlook: powered by artificial intelligence",
journal="Transactions of the Korean Society of Automotive Engineers",
year="2022",
author="Kim, Sanmin and Kim, Youngseok and Jeon, Hyeongseok and Kum, Dongsuk and Lee, Kibeom",
volume="30",
number="10",
pages="819-830",
abstract="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.   키워드: 자율주행 자동차, 아키텍처, 인공지능, 판단 및 경로생성, 인지, 예측<p /> <p>Language: ko</p>",
language="ko",
issn="1225-6382",
doi="10.7467/KSAE.2022.30.10.819",
url="http://dx.doi.org/10.7467/KSAE.2022.30.10.819"
}