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AgungHari
Development-of-YOLOV8-based-Autonomous-Wheelchair-for-Obstacle-Avoidance AgungHari
3
26
mit
2
Detection is performed by combining two approaches: Yolo bounding box and pose landmarks, where both outputs are mapped into a 10x10 grid (made with OpenCV), which serves as a reference for the wheel...
yolov8 grid10x10 kursiroda mediapipe bounding-box pose-estimation wheelchair-control
Created 2024-07-20
54 commits to main branch, last one about a month ago