Signaling and Illumination in the context of modernHuman-Centric In-Vehicle LightingSignaling and Illumination Christopher Weirich1,2, Yandan Lin1* and Tran Quoc Khanh2 1Department of Illuminating Engineering & Light Sources, Fudan University, Shanghai, China
Within the coming mixed until full automated driving context, vehicle occupants are able for the first time to focus on other preferences besides driving. However, which new role in-vehicle lighting plays is still unknown. A simply transfer from established in-door lighting models for prediction is not possible since there are different model boundary conditions. Therefore, we introduce our approach on the way for in-vehicle lighting modeling based on two study designs: in-vehicle lighting for signaling and for illumination. Within the first signaling study, promising results evaluated by subject’s origin are showing that there is a hue-attention correlation for European subjects which was missing within the Chinese observed group. Meaning, for a global valid vehicle attention signal, visual stimuli should be combined with acoustics or dynamically triggered. Second, within the second illumination study, we found 1) three necessary dimension to describe in-vehicle lighting named as color, brightness and spatial distribution. 2) High rankings for psychological light-associated attributes were only found by applying mixed CCT’s and a combination of spot- and spherical light settings, which suggest that in-vehicle lighting has to be combined with natural light also during daytime. 3) By applying perceptual dimensions as lightness, chroma and hue, three development and operation guidelines were defined which partially follow Hunt. We will continue our miniseries in a controlled laboratory study since we are on the way to a complete human-centric in-vehicle lighting system modeling. human-centric in-vehicle lighting, in-vehicle signaling, in-vehicle illuminationn |