Nighttime Vehicle Detection database (NVD)

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, Connecticut 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:

Dataset structure:

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

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• Nighttime Vehicle Detection database (NVD)

Citation

Please, cite the following paper in your publications if you use this database in your work:

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 (Article in press) (doi: 10.1109/TITS.2021.3053863)

For questions about this dataset, please contact:

Andrés Bell: This email address is being protected from spambots. You need JavaScript enabled to view it..

Carlos R. del Blanco: This email address is being protected from spambots. You need JavaScript enabled to view it..