Analytical study on the exposedness of potential positions for external human-machine interfaces

Jose Gonzalez-Belmonte , Jaerock Kwon

Autonomous Intelligent Systems ›› 2026, Vol. 6 ›› Issue (1) : 16

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Autonomous Intelligent Systems ›› 2026, Vol. 6 ›› Issue (1) :16 DOI: 10.1007/s43684-026-00139-y
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Analytical study on the exposedness of potential positions for external human-machine interfaces
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Abstract

As we move towards a future of autonomous vehicles, questions regarding their method of communication have arisen. One of the common concerns is the placement of the signaling used to communicate with pedestrians and road users, but few works have been fully dedicated to the matter. This paper uses a simulation made in the Unity game engine to record the fifteen different vehicles under fifty-seven different scenarios each for the first time, in order to find how often their forward-facing exterior surfaces can be seen by a pedestrian on the sidewalk. Variables include the vehicle type, position, number of vehicles on the road, camera position and direction, as well as its minimum and maximum distance from the recorded points. It was concluded that the areas of the vehicle most often seen by pedestrians on the sidewalk attempting to cross the road were the wheels, front fenders, and headlights. Based on these results, a suggestion is made to implement displays on at least two of the following regions: windshield, front fenders, side mirrors. These findings are valuable in the future design of signaling for autonomous vehicles in order to ensure pedestrians are able to see them on approaching vehicles. The software used provides a platform for similar work in the future to be conducted.

Keywords

Autonomous vehicles / eHMI / Road safety / Pedestrian safety

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Jose Gonzalez-Belmonte, Jaerock Kwon. Analytical study on the exposedness of potential positions for external human-machine interfaces. Autonomous Intelligent Systems, 2026, 6 (1) : 16 DOI:10.1007/s43684-026-00139-y

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