Enhanced YOLOv8- Driven Traffic Rule Violation Detection with ROS-Integrated Autonomous Drone Navigation
Hemanth Mohan, Randhir Dinesh, Abhiraj S Kumar, Anwin Mathai, S. Deepak · 2024
Employing autonomous drones, an expanded per-spective of the traffic situation may be obtained, covering more terrain than the existing monitoring system that depends on stationary cameras. Drones may also navigate through challenging-to-reach locations and complicated terrain, giving a more ac-curate and comprehensive view of the violations of traffic laws that are taking place nearby. Drones equipped with path planning implemented using ROS and the ability to detect traffic violations can greatly surpass the existing surveillance system. Proposed drones can record live videos of traffic violations, which deep learning algorithms can process to pinpoint the exact offense. These drones can quickly and accurately identify a variety of traffic infractions, such as speeding, illegal parking, and careless driving, by utilizing deep learning algorithms which utilize the YOLOv8 algorithm.