Required Visibility Level for Reliable Object Detection during Nighttime Road Traffic in Non-Urban Areas

Author:

Erkan Anil1ORCID,Hoffmann David1ORCID,Kreß Nikolai1,Vitkov Tsoni1,Kunst Korbinian1ORCID,Peier Markus Alexander1ORCID,Khanh Tran Quoc1ORCID

Affiliation:

1. Laboratory of Adaptive Lighting Systems and Visual Processing, Technical University of Darmstadt, Hochschulstr. 4a, 64289 Darmstadt, Germany

Abstract

Motor vehicle headlamps are the only light sources that create visibility conditions for the driver in nighttime non-urban traffic. Therefore, a suitable design of these lighting systems is of the highest relevance to allow the driver an early detection of obstacles so that an appropriate reaction is possible. In order to provide a design basis for the headlamps, this article deals with the determination of the minimum required lighting conditions for reliable object detection. For this purpose, studies with drivers were conducted in a light tunnel on a closed test site, and the Visibility Level (VL) required for reliable object detection was considered. Gray cards with a reflectance of 4% were positioned on different positions of measurement grids, and the intensity of the low beam and high beam of a test vehicle was increased step by step until the drivers had detected the gray card. The results demonstrate that a Visibility Level of at least 13.35 is required in non-urban areas in order to reliably detect objects. In addition, the required Visibility Level depends on the eccentricity angle. Thus, the required Visibility Level reaches its maximum value in the foveal area of the field of view and decreases in a Gaussian shape in the periphery.

Funder

Deutsche Forschungsgemeinschaft

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference51 articles.

1. Ermittlung der Tauglichlichkeitsgrenzen beim Dämmerungssehen;Aulhorn;Z. Verk.,1971

2. Diem, C. (2005). Blickverhalten von Kraftfahrern im dynamischen Straßenverkehr, Darmstädter Lichttechnik, Utz.

3. The information that drivers use: Is it indeed 90% visual?;Sivak;Perception,1996

4. Visual attention and the transition from novice to advanced driver;Underwood;Ergonomics,2007

5. Programmable Automotive Headlights;Fleet;Computer Vision–ECCV 2014,2014

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