Moving Vehicle Speed and Distance Estimation in Autonomous Vehicles

This paper presents a novel approach for speed calculation and distance estimation in a vehicle detection system. It utilizes an SSD model for vehicle detection and integrates the Dlib library with a DeepSORT model for tracking. The Euclidean distance metric is used for distance estimation, while relative velocity is employed for speed calculation. The proposed method demonstrates high accuracy in vehicle detection and robust tracking performance. Experimental results validate its effectiveness. This system has potential applications in traffic monitoring and autonomous driving.