Enhancing the Driver Awareness of Pedestrian using Augmented Reality Cues

Minh Tien Phan (1) , Indira Thouvenin (1) , Vincent Frémont (1)

1 Heudiasyc - Heuristique et Diagnostic des Systèmes Complexes [Compiègne]

Pedestrian accident is a serious problem for the society. Pedestrian Collision Warning Systems (PCWS) are proposed to detect the presence of pedestrians and to warn the driver about the potential dangers. However, their interfaces associated with ambiguous alerts can distract drivers and create more dangers. On the other hand, Augmented Reality (AR) with Head-Up Display (HUD) interfaces have recently attracted the attention in the field of automotive research as they can maintain driver's gaze on the road. In this paper, we design a new PCWS with the AR cues and propose an experimental to evaluate the AR cues by assessing the driver's awareness of a pedestrian. At this stage, a fixed-based driving simulator is used for the study. Twenty five healthy middle-aged licensed drivers participate in the experiment. A car following task is proposed as the main driving task. Three levels of the driver's awareness of a pedestrian: the perception level, the vigilance level and the anticipation level are assessed through the observable outcomes. The results show that the proposed AR cues can enhance the driver's awareness of a pedestrian in all the three levels.

Mots clés: Augmented reality; Driver Behaviors; Pedestrian Safety; Situation Awareness; Driving Simulation

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]; Robotique [cs.RO]

Minh Tien Phan, Indira Thouvenin, Vincent Frémont. Enhancing the Driver Awareness of Pedestrian using Augmented Reality Cues. 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC 2016), Nov 2016, Rio de Janeiro, Brazil. pp.1298-1304. ⟨hal-01398344⟩