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Colour is an important medium of non-verbal communication in nature as well as in human civilisation. Colour signals are prominent in road-, railway- and air-traffic and lighting/ light-signalling on vehicles is carefully regulated by international institutions (UNECE, SAE). The introduction of AI and autonomous mobility requires the identification of new colour regions for the labelling of autonomous vehicles (AVs). The present study evaluates colour regions for their suitability to that respect: Daimler proposal Turquoise, Selective Yellow, Mint-Green and Purple/Magenta. The evaluation takes into account physiological and psychological factors such as human chromatic sensitivity, colour vision deficiencies, attractiveness and expected uniqueness. The evaluation concludes that, overall, Turquoise receives higher ratings in most criteria than Selective Yellow, Mint-Green, and Purple/ Magenta: Turquoise is therefore rated as the colour best suited for the identification of autonomous cars and human – automobile communication. A recommendation is given to adjust the chromaticities of the proposed Turquoise in order to optimise discrimination from standard daylight D65.
Annette Werner (Mon,) studied this question.