OAOF - Obstacle Avoidance using Optical Flow Algorithm for Unmanned Aerial Vehicles

Abstract

A camera sensor may be a useful tool for a number of robotic and autonomous systems when used with MATLAB Simulink for obstacle avoidance. Using a camera sensor and MATLAB Simulink's optical flow algorithm, the obstacle avoidance system is shown in this work. For the purpose of identifying and following the motion of objects in the picture, the system analyses visual data from the camera. The motion vectors of the objects are computed using the optical flow technique, and the robot and obstacles' relative motion is calculated using those motion vectors. In order to provide safe and easy navigation, the system can recognise and avoid obstacles in real-time. The system is easily adjustable and adaptable to diverse applications thanks to the usage of MATLAB Simulink, which enables the integration of several sensor and control systems. The suggested system's findings demonstrate that using a camera sensor with the optical flow algorithm may be a useful tool for obstacle avoidance in a range of robotic and autonomous systems.