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Resolution Aspects for Near-Field Projections

Stuckert, Alexander ; Khanh, Tran Quoc (2023):
Resolution Aspects for Near-Field Projections. (Publisher's Version)
In: Applied Sciences, 13 (2), MDPI, e-ISSN 2076-3417,
DOI: 10.26083/tuprints-00023172,

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Item Type: Article
Origin: Secondary publication DeepGreen
Status: Publisher's Version
Title: Resolution Aspects for Near-Field Projections
Language: English

This work intends to define the resolution requirements for near-field projections in a psycho-physical study design to evaluate the participants’ perception under the influence of different ambient lighting levels and various viewing distances. The variation in ambient lighting and viewing distances relates to various daytime and critical distances in urban environments. The application of near-field projections increases the popularity of communication- or safety-relevant projections, such as for automated vehicles. However, previous studies in the filming industry have shown that the resolution requirements differ depending on the application. In this work, a field study design presents an experimental approach to define a perceived resolution on the street surface in the near field around the vehicle. Furthermore, the study evaluates the influence of viewing distance, ambient lighting and projection content on the perceived resolution in detail. The results reveal a significant dependency on ambient lighting (p < 0.05). Furthermore, this work states that the symbol-based projection has lower resolution requirements, e.g., a viewing distance of 1 m and 3 m results in a 2 pixels per degree resolution compared to the text-based projection in the parking garage scenario. Nevertheless, in the dusk/dawn scenario, the perceived resolution can be grouped for viewing distances above 1 m for content-independent projections.

Journal or Publication Title: Applied Sciences
Volume of the journal: 13
Issue Number: 2
Place of Publication: Darmstadt
Publisher: MDPI
Collation: 14 Seiten
Uncontrolled Keywords: near-field projections, resolution, ambient luminance, projection content, logistic regression, human-centric lighting, interactive design
Classification DDC: 600 Technik, Medizin, angewandte Wissenschaften > 600 Technik
600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
Divisions: 18 Department of Electrical Engineering and Information Technology > Adaptive Lighting Systems and Visual Processing
Date Deposited: 06 Feb 2023 13:25
Last Modified: 14 Mar 2023 11:06
DOI: 10.26083/tuprints-00023172
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-231727
Additional Information:

This article belongs to the Special Issue Smart Lighting and Visual Safety

SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/23172
PPN: 505734885
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