Speed Estimation from Smart Phone In-Motion Camera for the Next Generation of Self-Driven Intelligent Vehicles
Safa Salahat, Asma Al-Janahi, Luis Weruaga, Ahmed Bentiba · 2017
Estimating vehicles' speed is of great importance for the vehicular technology society (VTS) and the intelligent transportation society (ITS) for the next generation of self-driven smart cars. Having an accurate estimation of vehicle speed is critical for safe driving, collision avoidance, driver assistance systems, etc. This paper proposes a novel method intended for vehicle speed estimation from a camera in motion. Specifically, the system utilizes the smart phone camera mounted behind the windshield using a phone holder to capture consecutive frames of the street ahead, then it accurately estimates the distance, in centimeters accuracy, of the frontal vehicles and their speeds, while the vehicle with the smartphone is in motion. Initial testing for the system shows very promising results with a worst- case accuracy of 96%.