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AI-based Collision Avoidance Lane Change System
- Seo, Dong Yun;
- Lim, Jinny;
- Lee, Han Been;
- Yu, Jae Yong;
- Choi, Yeong Gwang;
- ... Jeon, Jae Wook
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0초록
This study proposes a method for implementing autonomous driving functions by developing a lane change algorithm. It utilizes the YOLOv8 deep learning model and a Camera sensor to detect forward lanes and surrounding vehicles, combining LiDAR data to plan driving paths and control the vehicle. Through this, it implements autonomous driving technology that is stable and enhances the efficiency of the traffic system.
키워드
Autonomous Driving; Finite State Machine; Lane Change Algorithm; YOLOv8
- 제목
- AI-based Collision Avoidance Lane Change System
- 저자
- Seo, Dong Yun; Lim, Jinny; Lee, Han Been; Yu, Jae Yong; Choi, Yeong Gwang; Jeon, Jae Wook
- 발행일
- 2025
- 유형
- Conference Paper
- 저널명
- 2025 IEEE/IEIE International Conference on Consumer Electronics-Asia, ICCE-Asia 2025