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Object contrast determination based on peripheral Vision undernight-time driving conditions

Schneider, Katharina (2018)
Object contrast determination based on peripheral Vision undernight-time driving conditions.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication

Abstract

The introduction of LED technologies into headlamp development has led to the systematic progress in headlamp design to improve visibility. Current LED light distributions consist of a specific number of horizontal and vertical segments, it tends to a spatially finely resolved adaptation of the light distribution, the so-called pixel light. This results in a much more precise light distribution, each segment can be individually controlled and dimmed. The aim of this technology is to be able to respond appropriately to the appearance of road users (pedestrians, wild animals or oncomingtraffic), firstly by reducing the light intensit yof the corresponding camera pixels in order to prevent glare and secondly to force it to the objects’ direction. The environment surrounding the traffic area element shall be illuminated in such a way as to achieve maximum visibility. The basis of this work is an investigation dealing with detection of objects in nighttime traffic in relation to vehicle lighting technology. The present study examines the foveal and peripheral vision by means of detection. The intention is to obtain an insight into the cognitive abilities and different areas within the visual field for different visual conditions in night-time road traffic.

Item Type: Ph.D. Thesis
Erschienen: 2018
Creators: Schneider, Katharina
Type of entry: Primary publication
Title: Object contrast determination based on peripheral Vision undernight-time driving conditions
Language: English
Referees: Khanh, Prof. Dr. Tran Quoc ; Schierz, Prof. Dr. Christoph
Date: 17 December 2018
Place of Publication: Darmstadt
Refereed: 17 January 2018
URL / URN: https://tuprints.ulb.tu-darmstadt.de/8300
Abstract:

The introduction of LED technologies into headlamp development has led to the systematic progress in headlamp design to improve visibility. Current LED light distributions consist of a specific number of horizontal and vertical segments, it tends to a spatially finely resolved adaptation of the light distribution, the so-called pixel light. This results in a much more precise light distribution, each segment can be individually controlled and dimmed. The aim of this technology is to be able to respond appropriately to the appearance of road users (pedestrians, wild animals or oncomingtraffic), firstly by reducing the light intensit yof the corresponding camera pixels in order to prevent glare and secondly to force it to the objects’ direction. The environment surrounding the traffic area element shall be illuminated in such a way as to achieve maximum visibility. The basis of this work is an investigation dealing with detection of objects in nighttime traffic in relation to vehicle lighting technology. The present study examines the foveal and peripheral vision by means of detection. The intention is to obtain an insight into the cognitive abilities and different areas within the visual field for different visual conditions in night-time road traffic.
Alternative Abstract:
Alternative abstract Language

Die Einführung der LED-Technologie in die Kfz-Scheinwerferentwicklung führte zu einem systematischen Fortschritt hinsichtlich der Verbesserung der Sichtbarkeit. Aktuelle LED-basierte Scheinwerfer bestehen aus einer bestimmten Anzahl horizontaler und vertikaler Segmente, mit denen eine räumlich fein aufgelöste Anpassung der Lichtverteilung möglich ist. Da jedes Pixel individuell angesteuert und gedimmt werden kann, führt dies zu einer wesentlich präziseren und adaptiven Lichtverteilung. Ziel ist es, auf das plötzliche Erscheinen von Verkehrsteilnehmern (Fußgänger, Wildtiere oder Gegenverkehr) entsprechend reagieren zu können, indem einerseits die Lichtintensität der entsprechenden Pixel verringert wird, um eine mögliche Blendung zu vermeiden, andererseits, um das Licht gezielt in Richtung der vom Autofahrer wahrgenommenen „Objekte“ zu leiten. Dabei soll die Umgebung, die das Objekt umgibt, so ausgeleuchtet werden, dass eine maximale Sichtweite für den Fahrer ermöglicht wird. Grundlage dieser Arbeit sind Untersuchungen, die sich mit der Detektion von Objekten im nächtlichen Straßenverkehr in Bezug auf die Kfz-Lichttechnik befassen. Dabei wird die Detektionsaufgabe des Autofahrers sowohl für das foveale als auch das periphere Sichtbarkeitsfeld des Fahrers betrachtet.

German
URN: urn:nbn:de:tuda-tuprints-83003
Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute for Electromechanical Design (dissolved 18.12.2018)
18 Department of Electrical Engineering and Information Technology > Light Technology (from Oct. 2021 renamed "Adaptive Lighting Systems and Visual Processing")
Date Deposited: 23 Dec 2018 20:55
Last Modified: 23 Dec 2018 20:55
PPN:
Referees: Khanh, Prof. Dr. Tran Quoc ; Schierz, Prof. Dr. Christoph
Refereed / Verteidigung / mdl. Prüfung: 17 January 2018
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