Give Drivers a Safe Way Home:Early Warning of Car Accidents through Deep Learning

Among the causes of traffic accidents in Taiwan in 2021, "not paying attention to conditions ahead of the vehicle" ranked among the top two. It is a big challenge to assist drivers in judging road conditions in advance to reduce the occurrence of traffic accidents. This project uses the DR(eve)VE dataset to capture video data of driving conditions in different environments and applies the YOLO v4 algorithm to detect real-time road objects. The detection results are then imported into the Deep Sort algorithm to track the trajectory of the objects. Finally, the optimal safe distance between the vehicle and the detected objects is calculated. If the objects are within the safe distance, the driver will be alerted to avoid potential car accidents. By integrating the YOLO v4 and Deep Sort algorithms, this project aims to assist drivers in judging road conditions so that they can arrive home safely.