A Comprehensive Analysis of UAV Collision Avoidance Techniques for Enhanced Aerial Safety
Kartikey Jaiswal, Anshu Vashisth
Abstract
Drones, otherwise called Unmanned Aerial Vehicles (UAVs), are as of now normal in a wide range of enterprises and have changed jobs like bundle package delivery and surveillance. In any case, given the immense number of UAVs in the skies today, keeping up their safe coexistence with different drones is of the best concern. This paper explains this significant topic by offering a definite investigation of generally applied UAV collision avoidance techniques. Collision avoidance, which immensely affects all parts of the course and flight execution, is a pivotal piece of UAV path planning. Five primary techniques are covered in this paper: Proximity sensors, GPS-based systems, Communication and Tracking, Sense and Avoid Techniques, and Autonomous Decision-Making Algorithms. To reveal insight into every technique's efficiency, the review looks at its advantages and downsides. Understanding and further developing collision and Obstacle Avoidance Techniques is significant for the continued protected and productive activity of these aerial vehicles, and they play a significant part in UAV path planning as UAVs become more coordinated in our airspace.