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this research focuses on the development and implementation of monocular vision-based obstacle detection and avoidance in drone using convolutional neural network (yolov4 object classifier) and deep learning. in this research, the input parameter is video streamed from monocular camera while the output parameter is yaw, pitch and roll command sent to drone to maneuver away from the obstacle.
a. membangunkan pengesanan berasaskan kecerdasan buatan dan anggaran jarak halangan b. membangunkan algoritma pengelakan perlanggaran drone c. menilai prestasi pengesanan halangan berasaskan visi monokular dan perlanggaran mengelakkan drone