Vehicle Distance and Speed Estimation Algorithm for Computer Vision Sensor System

2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2021): Conference Proceedings 2021
Mihails Gorobecs, Jurijs Timofejevs, Ambuja Bangalore Srinivasa

This study is devoted to solving the perception problem of autonomous transport system by Convolutional Neural Network (CNN) application. The goal of this paper is to develop the method for single camera based computer vision sensor for intelligent transport systems to detect and recognize objects in real-time, as well as estimate the speed of detected vehicle. This paper aims at evaluating the workability of this sensor in different weather conditions for autonomous vehicle applications. This sensor can be applied for different levels of abstraction like road safety, autonomous vehicle navigation, guiding system for disabled, animal survey, surveillance and other purposes.

Keywords
Autonomous vehicles, CNN, object recognition, speed estimation, computer vision
DOI
10.1109/RTUCON53541.2021.9711733
Hyperlink
https://ieeexplore.ieee.org/document/9711733

Gorobecs, M., Timofejevs, J., Bangalore Srinivasa, A. Vehicle Distance and Speed Estimation Algorithm for Computer Vision Sensor System. In: 2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2021): Conference Proceedings, Latvia, Riga, 15-17 November, 2021. Piscataway: IEEE, 2021, pp.440-444. ISBN 978-1-6654-3805-6. e-ISBN 978-1-6654-3804-9. Available from: doi:10.1109/RTUCON53541.2021.9711733

Publication language
English (en)