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Autonomous Driving Vehicle Control Using YOLO11-Based Pose Estimation with Infrastructure Sensors
- Choi, Yeong Gwang;
- Kim, Eun Ho;
- Suh, Young Hoon;
- Jeon, Jae Wook
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6초록
This work proposes a system that utilizes infrastructure-mounted cameras to estimate the position and orientation of vehicles, generating and controlling paths based on this data. The Hybrid A∗ algorithm is used to plan paths, the Pure Pursuit method is used to follow these paths, and the YOLO11m-pose model is used to estimate pose. The proposed approach addresses the limitations of restricted visibility and enables reliable navigation in complex environments. © 2025 IEEE.
키워드
Autonomous driving; Autonomous vehicles; Infrastructure-assisted path planning; Pose estimation via infrastructure
- 제목
- Autonomous Driving Vehicle Control Using YOLO11-Based Pose Estimation with Infrastructure Sensors
- 저자
- Choi, Yeong Gwang; Kim, Eun Ho; Suh, Young Hoon; Jeon, Jae Wook
- 발행일
- 2025
- 유형
- Proceedings Paper
- 저널명
- 2025 11th International Conference on Mechatronics and Robotics Engineering, ICMRE 2025
- 페이지
- 145 ~ 148