Autonomous Driving Technology Trend and Future Outlook: Powered by Artificial Intelligence자율주행 기술 동향 및 발전 방향: AI를 중심으로
- Other Titles
- 자율주행 기술 동향 및 발전 방향: AI를 중심으로
- Authors
- 김산민; 김영석; 전형석; 금동석; 이기범
- Issue Date
- Oct-2022
- Publisher
- 한국자동차공학회
- Keywords
- 자율주행 자동차; 아기텍처; 인공지능; 판단 및 경로생성; 인지; 예측; Autonomous vehicle; Architecture; Artificial intelligence; Decision and planning; Perception; Prediction
- Citation
- 한국자동차공학회 논문집, v.30, no.10, pp.819 - 830
- Journal Title
- 한국자동차공학회 논문집
- Volume
- 30
- Number
- 10
- Start Page
- 819
- End Page
- 830
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/85708
- DOI
- 10.7467/KSAE.2022.30.10.819
- ISSN
- 1225-6382
- 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.
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