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.
Autonomous Driving Vehicle Control Using YOLO11-Based Pose Estimation with Infrastructure Sensors
2025-02-24
781957 byte
Conference paper
Electronic Resource
English
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