Navigational Heads-Up Display

One problem drivers face is distraction from looking at their mobile device while navigating rather than watching the road. This problem can be solved with a heads-up display placed directly on the driver’s windshield. By using a mobile device with a custom GPS application, the following design will be able to send GPS data to a device that will display navigational information on a car windshield. The design includes two primary components, a mobile device and a System Unit, where the System Unit is composed of a portable power supply, a single board computer, and a display. For the design, the mobile device is an android device, the portable power supply is a battery, and the display is a small projector. The design has a very strong software focus, and the main intention of the design is to produce a fully functional Android mobile application that pairs along with prototype hardware elements. In final implementation, the mobile application sends data in the JSON format over a Bluetooth connection. The key features of the project are as follows: • A custom GPS Android Application that can generate routes from the user’s current location to destinations entered by the user. • A System Unit, which is a device that has the capability to be mounted on a vehicle’s dashboard, connect to the user’s mobile device, and generate a display that contains navigation information. • A projected display that is shown on the vehicle’s windshield

REDUCING THE COGNITIVE LOAD OF DECISION-MAKERS IN EMERGENCY MANAGEMENT THROUGH AUGMENTED REALITY

Decision processes in emergency management are particularly complex. Operations managers have to make decisions under time pressure while the situation at hand changes continuously. As wrong decisions in emergencies often have drastic effects, operations managers try to receive information from various sources such as the emergency control centre, their operation forces, databases, electronic location maps and drones. However, previous research has shown that humans have only limited information processing capabilities, and once these are exceeded, task performance decreases. Augmented Reality (AR) offers entire new possibilities to visualise information. Previous research on the relationship between the use of AR for information visualisation and the experienced cognitive load yielded contradictory results. By using the design science approach, we therefore aim to develop an AR decision support system. In a comparative eye-tracking study, we plan to examine how different types of AR information visualisation affect the experienced cognitive load of operations managers and thus decision-making. In this research-in-progress paper, we present the results of expert interviews with six operations managers who described three AR use cases in emergency management and five requirements for an AR decision support system

Obtaining The Transfer Function Of A Camera Mount Using Ansys And Matlab

In this thesis, the transfer function of a camera mount is obtained using ANSYS and MATLAB. In a heads-up display (HUD) application, achieving precise image registration requires careful consideration of the camera\u27s position relative to the vehicle. Vibrations can alter the camera\u27s position, with tilt being the most impactful due to its increased displacement effect as objects are further away.This research tackles vibration by predicting the position of the camera using transfer function. To determine the transfer function for complex structures, such as camera mounts, this study aims to first establish a transfer function for a simpler model, like a cantilever beam with a tip-mass. By contrasting the transient response from ANSYS with the theoretical response of the system, the ANSYS modeling is validated as part of the process. The system identification toolbox in MATLAB is then used to produce the transfer function based on the frequency response function (FRF) that was developed in ANSYS harmonic analysis. By comparing the simulated outputs to ANSYS transient responses with the same inputs, the transfer function is verified. The results show that the transfer function developed successfully predicts the position of the camera with an accuracy of 98%

Science Arts & Métiers (SAM)

International audienceAugmented Reality (AR) technology facilitates interactions with information and understanding of complex situations. Aeronautical Maintenance combines complexity induced by the variety of products and constraints associated to aeronautic sector and the environment of maintenance. AR tools seem well indicated to solve constraints of productivity and quality on the aeronautical maintenance activities by simplifying data interactions for the workers. However, few evaluations of AR have been done in real processes due to the difficulty of integrating the technology without proper tools for deployment and assessing the results. This paper proposes a method to select suitable criteria for AR evaluation in industrial environment and to deploy AR solutions suited to assist maintenance workers. These are used to set up on-field experiments that demonstrate benefits of AR on process and user point of view for different profiles of workers. Further work will consist on using these elements to extend results to AR evaluation on the whole aeronautical maintenance process. A classification of maintenance activities linked to workers specific needs will lead to prediction of the value that augmented reality would bring to each activity

An investigation of the effects of driver age when using novel navigation systems in a head-up display

Although drivers gain experience with age, many older drivers are faced with age-related deteriorations that can lead to a higher crash risk. Head-Up Displays (HUDs) have been linked to significant improvements in driving performance for older drivers by tackling issues related to aging. For this study, two Augmented Reality (AR) HUD virtual car navigation solutions were tested (one screen-fixed, one world-fixed), aiming to improve navigation performance and reduce the discrepancy between younger and older drivers by aiding the appropriate allocation of attention and easing interpretation of navigational information. Twenty-five participants (12 younger, 13 older) undertook a series of drives within a medium-fidelity simulator with three different navigational conditions (virtual car HUD, static HUD arrow graphic and traditional head-down satnav). Results showed that older drivers tended to achieve navigational success rates similar to the younger group, but experienced higher objective mental workload. Solely for the static HUD arrow graphic, differences in most workload questionnaire items and objective workload between younger and older participants were not significant. The virtual car led to improved navigation performance of all drivers, compared to the other systems. Hence, both AR HUD systems show potential for older drivers, which needs to be further investigated in a real-world driving context

Cognitive Profile of Optimistic Offender Drivers Affected by Psychological Interventions for a Sustainable and Safer Driving’s Behavior

An empirically verified fact is that the majority of traffic accidents occur as a result of risky behaviours that drivers assume, more or less, voluntarily. Drivers are not aware of the perception of risk and the subjective perception of control that we believe we have. We have delimitated the characteristics of a group of optimistic offender drivers, which reveal, on the hand, a great lack of understanding of the true impact that external factors can have on driving and; on the other hand, they tend to overestimate their abilities and overconfident in their ability to avoid accidents. In addition, these drivers do not usually experience negative emotions when they fail. All this, together is what increases the probability of suffering an accident. The consideration of the different cognitive profiles in the perception of the risk or challenge when facing potential traffic situations may provide us with a better understanding of the true nature of offending drivers. The need to carry out experimental studies using new assessment instruments (i.e. Eye tracking, Bio-Feedback, evoked potentials, etc.) can facilitate a better understanding of the cognitive processes that explain the attitudes and behaviors of drivers; and therefore, achieve a lower rate of car accidents

Perception of perspective in augmented reality head-up displays

Augmented Reality (AR) is emerging fast with a wide range of applications, including automotive AR Head-Up Displays (AR HUD). As a result, there is a growing need to understand human perception of depth in AR. Here, we discuss two user studies on depth perception, in particular the perspective cue. The fi rst experiment compares the perception of the perspective depth cue (1) in the physical world, (2) on a at-screen, and (3) on an AR HUD. Our AR HUD setup provided a two-dimensional vertically oriented virtual image projected at a fi xed distance. In each setting, participants were asked to estimate the size of a perspective angle. We found that the perception of angle sizes on AR HUD differs from perception in the physical world, but not from a at-screen. The underestimation of the physical world's angle size compared to the AR HUD and screen setup might explain the egocentric depth underestimation phenomenon in virtual environments. In the second experiment, we compared perception for different graphical representations of angles that are relevant for practical applications. Graphical alterations of angles displayed on a screen resulted in more variation between individuals' angle size estimations. Furthermore, the majority of the participants tends to underestimate the observed angle size in most conditions. Our results suggest that perspective angles on a vertically oriented fixed-depth AR HUD display mimics more accurately the perception of a screen, rather than the perception of the 3D environment. On-screen graphical alteration does not help to improve the underestimation in the majority of cases