High-resolution headlamps – technology analysis and system design

Knöchelmann, Marvin; Held, Marcel Philipp; Kloppenburg, Gerolf; Lachmayer, Roland

doi:10.1515/aot-2018-0060

Cited by 20 publications

(11 citation statements)

References 12 publications

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“…Brunne [7] et al analyzed several lighting functions of high-resolution pixel headlamps and produced a resolution requirement of 0.03 • . Based on the analysis of the literature, Marvin [8] et al produced a resolution requirement of 0.05 • .…”

Section: Pixel Requirements For High-resolution Headlampsmentioning

confidence: 99%

High-Resolution Pixel LED Headlamps: Functional Requirement Analysis and Research Progress

Wang

et al. 2021

Applied Sciences

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High-resolution pixel LED headlamps are lighting devices that can produce high-resolution light distribution to adapt to road and traffic conditions, intelligently illuminate traffic areas, and assist drivers. Due to the complexity of roads and traffic conditions, the functional diversity of high-resolution pixel LEDs headlamps and traffic safety has come into question and is the subject of in-depth research conducted by car manufacturers and regulators. We summarize the current possible functions of high-resolution pixel LED headlamps and analyze ways in which they could be improved. This paper also discusses the prospect of new technologies in the future.

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Section: Pixel Requirements For High-resolution Headlampsmentioning

confidence: 99%

High-Resolution Pixel LED Headlamps: Functional Requirement Analysis and Research Progress

Wang

et al. 2021

Applied Sciences

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“…Consequently, the same image input specification as for the PVDN dataset hold. Furthermore, the test car has matrix beam headlights and a glare-free high beam assist [9,38] which is used in the experiment for visual demonstrations and for deploying a provident glare-free high beam. Each matrix beam headlight consists of 84 LEDs and each is almost illuminating another solid angle (within a headlight) and can be dimmed independently to all the other LEDs.…”

Section: Datasets and Test Carmentioning

confidence: 99%

Provident Vehicle Detection at Night for Advanced Driver Assistance Systems

Ewecker¹,

Asan²,

Ohnemus³

et al. 2021

Preprint

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In recent years, computer vision algorithms have become more and more powerful, which enabled technologies such as autonomous driving to evolve with rapid pace. However, current algorithms mainly share one limitation: They rely on directly visible objects. This is a major drawback compared to human behavior, where indirect visual cues caused by the actual object (e. g., shadows) are already used intuitively to retrieve information or anticipate occurring objects. While driving at night, this performance deficit becomes even more obvious: Humans already process the light artifacts caused by oncoming vehicles to assume their future appearance, whereas current object detection systems rely on the oncoming vehicle's direct visibility. Based on previous work in this subject, we present with this paper a complete system capable of solving the task to providently detect oncoming vehicles at nighttime based on their caused light artifacts. For that, we outline the full algorithm architecture ranging from the detection of light artifacts in the image space, localizing the objects in the three-dimensional space, and verifying the objects over time. To demonstrate the applicability, we deploy the system in a test vehicle and use the information of providently detected vehicles to control the glare-free high beam system proactively. Using this experimental

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“…These optomechatronic systems mainly comprise a light source, illumination optics, a spatial light modulator and a projection optics (Figure 1, right). The spatial light modulator, as an optoelectronic component, constitutes the central component within this system (Knöchelmann et al, 2019a). It separates the light path of the high-resolution headlamp into an illumination and projection path.…”

Section: Optomechatronic Systems Exemplified By High-resolution Headlampsmentioning

confidence: 99%

Design Tool to Develop Highly Efficient Optomechatronic Systems

Ley

August

Lachmayer

2020

Proc. Des. Soc.: Des. Conf.

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In the domain of optical engineering, optomechatronic systems are predominantly developed using conventional ray tracing methods such as sequential and non-sequential ray tracing. However, the increasing complexity of these systems in combination with the demand for high efficiency and high image quality leads to the fact that conventional methods to develop these systems reach their limits. In order to be able to develop highly efficient systems with high image quality, this contribution introduces a hybrid ray tracing method using an advanced optimization function.

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High-resolution headlamps – technology analysis and system design

Cited by 20 publications

References 12 publications

High-Resolution Pixel LED Headlamps: Functional Requirement Analysis and Research Progress

High-Resolution Pixel LED Headlamps: Functional Requirement Analysis and Research Progress

Provident Vehicle Detection at Night for Advanced Driver Assistance Systems

Design Tool to Develop Highly Efficient Optomechatronic Systems

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