Computer Vision System Estimates Vehicle Speed in Real-Time

Tuesday - December 26 2023, 10:44 UTC - 11 months ago

The ICAI Group of the School of Computer Science of the University of Malaga have developed an innovative computer vision system that can estimate the speed of vehicles in real-time. This system is integrated into a single camera with the onboard computer systems of automobiles and can also be used for autonomous driving and driver assistance. The results have been published in the journal Neurocomputing.

Engineers of ICAI Group of the School of Computer Science of the University of Malaga have developed a computer vision system that estimates the speed of vehicles driving on the same road in real-time.

It is an innovative algorithm, which adds accessibility, because it is integrated into a single camera with the onboard computer systems of automobiles, activating warnings every time another vehicle approaches dangerously.

Likewise, the system designed at the UMA estimates the speed of several vehicles simultaneously and, consisting of a single sensor, is integrated in an easier and cost-effective way.

The results of this work, carried out in collaboration with the German Aerospace Center (Deutsches Zentrum Fur Luft- und Raumfahrt, DLR), have been published in the journal Neurocomputing.

Ezequiel López-Rubio, professor at the Department of Computer Science and Programming Languages, and one of the authors of this paper, points out that improving vehicle safety is the ultimate goal of this research, which is part of a larger project on traffic video surveillance. Thus, autonomous driving and driver assistance are other possible applications.

"Driving systems already existed for this purpose; the innovation of this work lies in the capacity to integrate it into a single camera, reducing complexity and costs and, furthermore, it does not require a calibration process," explains López-Rubio.

Although so far it has not been integrated into any vehicle, reaching the business world is one of the medium- to long-term objectives of this scientific team that, currently, keeps working on improving the algorithm.