eHMI positioning for autonomous vehicle/pedestrians interaction

Maureen Troel−madec 1 Julien Alaimo 2 Laurence Boissieux 2 Sandrine Chatagnon 1 Stan Borkoswki 2 Anne Spalanzani 2 Dominique Vaufreydaz 3
3 PERVASIVE - Interaction située avec les objets et environnements intelligents
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology, UGA - Université Grenoble Alpes
Abstract : Progresses on autonomous vehicles suggest a future where they will share urban environments with fragile road users such as pedestrians, cyclists and two wheelers. In this article, we focus on the external Human-Machine Interface of autonomous vehicles used while interacting with pedestrians, and more particularly on its placement to increase its relevance and, thus, the safety. We conducted various experiments including 3D simulations to highlight which parts of the (autonomous) vehicles are most prominent in the pedestrian field of view in a scenario where pedestrians cross the road in front of a 3-vehicle row. Our results show that the placement of visual feedback on the front of the vehicle is optimal only if the vehicle is the first one. In other cases, the visibility from the front decreases with the position of the vehicle in the lane. On average on all our simulations, one coarsely can say that the visible parts of the vehicle are 2/3 on the side and 1/3 on the front. In our future work, based on this result, we will use the prototype depicted in this article to evaluate the relevance of lateral animations on an autonomous vehicle to communicate its intents to road users.
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Maureen Troel−madec, Julien Alaimo, Laurence Boissieux, Sandrine Chatagnon, Stan Borkoswki, et al.. eHMI positioning for autonomous vehicle/pedestrians interaction. Annexes des actes de la 31e conférence francophone sur l'Interaction Homme-Machine (IHM 2019), Dec 2019, Grenoble, France. pp.1:1-8, ⟨10.1145/3366551.3370340⟩. ⟨hal-02388847⟩



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