Vision-Based Obstacle Avoidance for Small Drone using Monocular Camera

Author:

Raheem Nhair Retaj,Al-Assadi Tawfiq A.

Abstract

Abstract This paper proposes an obstacle avoidance technique for small size drones by using a monocular camera. This method can assist the drone for doing their mission and avoid hitting any obstacle or minimise the collision as possible. For avoiding an obstacle while the drone is doing its mission, We use a computer vision technique to determines the free zone along with the obstacle that may cause a crash and send feedback control to the drone. The small size drone receives feedback about the obstacle and commands the drone to moves to a safe area then resume its trajectory.

Publisher

IOP Publishing

Subject

General Medicine

Reference19 articles.

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1. Real Time Vision Based Obstacle Avoidance for UAV using YOLO in GPS Denied Environment;2023 OITS International Conference on Information Technology (OCIT);2023-12-13

2. Forward Obstacle Detection by Unmanned Aerial Vehicles;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023

3. FCPNet: A novel model to predict forward collision based-upon CNN;2022 22nd International Conference on Control, Automation and Systems (ICCAS);2022-11-27

4. Potential Obstacle Detection Using RGB to Depth Image Encoder–Decoder Network: Application to Unmanned Aerial Vehicles;Sensors;2022-09-05

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