Citation

Gonzalez-de-Soto M, Mora R, Martín-Jiménez JA, González-Aguilera D. Sensors (Basel) 2020; 20(18): e5109.

Copyright

(Copyright © 2020, MDPI: Multidisciplinary Digital Publishing Institute)

DOI

10.3390/s20185109

PMID

32911749

Abstract

A new roadway eventual obstacle detection system based on computer vision is described and evaluated. This system uses low-cost hardware and open-source software to detect and classify moving elements in roads using infra-red and colour video images as input data. This solution represents an important advancement to prevent road accidents due to eventual obstacles which have considerably increased in the past decades, mainly with wildlife. The experimental evaluation of the system demonstrated that the proposed solution detects and classifies correctly different types of moving obstacles on roads, working robustly under different weather and illumination conditions.

Language: en

Keywords

computer vision; animal crossings detection; obstacle detection; roadway; software development