In-vehicle Visualization of Data by means of Augmented Reality

Abstract Recently, in-vehicle systems have considered integrating Augmented Reality (AR) to serve various purposes. The information offered to the driver by an in-vehicle system should be presented such that it can be easily interpreted without negatively affecting the driver’s attention for the driving task. The interface must be accessible, visible and easily legible, while also being symbolically relevant. In this paper, we explain the requirements and design decisions that lead to the proposal of our current AR-based visualization component of our in-vehicle system. The 3D AR visualization scheme we propose enhances the automatic adaptive notification filtering module of the in-vehicle system previously proposed. We integrated voice and gesture commands in order to manage common actions during driving, such as navigation system functions, control of the radio or of the air conditioner, or generic actions regarding incoming notifications. The system is tested in an artificial setting in the laboratory, using a simulated prototype vehicle deck and windshield.

[1]  Tobias Höllerer,et al.  Personalizing Content Presentation on Large 3D Head-Up Displays , 2019, PRESENCE: Virtual and Augmented Reality.

[2]  Kyung-Joong Kim,et al.  Design of a visual perception model with edge-adaptive Gabor filter and support vector machine for traffic sign detection , 2013, Expert Syst. Appl..

[3]  Aref Meddeb,et al.  In-vehicle augmented reality system to provide driving safety information , 2018, J. Vis..

[4]  Jean Vanderdonckt,et al.  Euphoria: A Scalable, event-driven architecture for designing interactions across heterogeneous devices in smart environments , 2019, Inf. Softw. Technol..

[5]  S. Davoodi,et al.  Drivers’ Addiction Toward Cell Phone Use While Driving , 2018 .

[6]  Ming-Hui Wen,et al.  Comparison of head-up display (HUD) vs. head-down display (HDD): driving performance of commercial vehicle operators in Taiwan , 2004, Int. J. Hum. Comput. Stud..

[7]  Jesús M. González-Barahona,et al.  On the reproducibility of empirical software engineering studies based on data retrieved from development repositories , 2011, Empirical Software Engineering.

[8]  Janie H. Wilson,et al.  Hands-free law in Georgia: Predictors of post-law cellphone use among college drivers , 2019, Transportation Research Part F: Traffic Psychology and Behaviour.

[9]  Feng Guo,et al.  Effect of Using Mobile Phones on Driver’s Control Behavior Based on Naturalistic Driving Data , 2019, International journal of environmental research and public health.