Obstacle Detection Based Collision Avoidance -A review

In this article we analyse the causes of road accidents and their impact on both affected families and the nation’s economy. We explore several techniques for preventing vehicle collisions, including sensor-based systems, camera technology, and advanced approaches such as computer vision and YOLO. Our analysis reveals that common causes of road mishaps include animal-vehicle collisions, low visibility areas, speeding, and driver error. To effectively address these challenges and reduce complexity, a machine learning system capable of processing and recognizing camera-captured image data is necessary. Timely detection and processing of potential hazards, especially on blind curves, are critical to preventing accidents