Nighttime vehicle detection database

Description

This database, Nighttime Vehicle Detection database (NVD), has been gathered from real traffic cameras publicly available from five different locations on highways: Richmond, Walnut, California, Conneticut and Gelderland. The cameras record monochrome video (gray scale) at night, and in the five scenarios, vehicles usually appear with complex illumination patterns and large flashes, instead of well-defined lights.

Samples of the five scenarios

Data

• Link: Nighttime vehicle database (NVD)

• The annotated database has been split into training and test as it can be seen in the link. There is a README about how to use NVD.

Publications

• A. Bell, T. Mantecón, C. Díaz, C.R. del Blanco, F. Jaureguizar, N. García, “A Novel System for Nighttime Vehicle Detection Based on Foveal Classifiers with Real-Time Performance”, IEEE Trans. Intelligent Transportation Systems, vol. xx, no. x, pp. xxx-xxx, xxx 2021 (Early Access) (doi: 10.1109/TITS.2021.3053863https://doi.org/10.1016/j.image.2021.116135)

• A. Bell, C. R. del-Blanco, F. Jaureguizar and N. García, "Robust Nighttime Vehicle Detection Based on Foveal Classifiers," 2020 IEEE International Symposium on Circuits and Systems (ISCAS), Sevilla, 2020, pp. 1-5, doi: 10.1109/ISCAS45731.2020.9180730.

Contact

• Andrés Bell: https://www.gti.ssr.upm.es/andr%C3%A9s-bell.html

• Carlos R. del Blanco Adán: http://gti.ssr.upm.es/carlos-r-del-blanco