TY  - JOUR
PY  - 2022//
TI  - Autonomous driving technology trend and future outlook: powered by artificial intelligence
JO  - Transactions of the Korean Society of Automotive Engineers
A1  - Kim, Sanmin
A1  - Kim, Youngseok
A1  - Jeon, Hyeongseok
A1  - Kum, Dongsuk
A1  - Lee, Kibeom
SP  - 819
EP  - 830
VL  - 30
IS  - 10
N2  - 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>
LA  - ko
SN  - 1225-6382
UR  - http://dx.doi.org/10.7467/KSAE.2022.30.10.819
ID  - ref1
ER  -