scholarly journals A Platform with Multiple Head-Mounted Displays for Advanced Training in Modern Driving Schools

2017 ◽  
Author(s):  
Kareem Abdelgawad ◽  
Jürgen Gausemeier ◽  
Jörg Stöcklein ◽  
Michael Grafe ◽  
Jan Berssenbrügge ◽  
...  
Keyword(s):  
Simulation Model ◽  
Traffic Safety ◽  
Driving Simulator ◽  
Training Session ◽  
Modular Architecture ◽  
Driving Simulators ◽  
Essential Information ◽  
Head Mounted Display ◽  
Head Mounted Displays ◽  
Vehicle Systems

Automotive manufacturers and suppliers develop new vehicle systems, such as Advanced Driver Assistance Systems (ADAS), to increase traffic safety and driving comfort. ADAS are technologies that provide drivers with essential information or take over demanding driving tasks. More complex and intelligent vehicle systems are being developed toward fully autonomous and cooperative driving. Apart from the technical development challenges, training of drivers with these complex vehicle systems represents an important concern for automotive manufacturers. This paper highlights the new evolving requirements concerning the training of drivers with future complex vehicle systems. In accordance with these requirements, a new training concept is introduced, and a prototype of a training platform is implemented for utilization in future driving schools. The developed training platform has a scalable and modular architecture so that more than one driving simulator can be networked to a common driving instructor unit. The participating driving simulators provide fully immersive visualization to the drivers by utilizing head-mounted displays instead of conventional display screens and projectors. The driving instructor unit consists of a computer with a developed software tool for training session control, monitoring, and evaluation. Moreover, the driving instructor can use a head-mounted display to participate interactively within the same virtual environment of any selected driver. A simulation model of an autonomous driving system was implemented and integrated in the participating driving simulators. Using this simulation model, training sessions were conducted with the help of a group of test drivers and professional driving instructors to prove the validity of the developed concept and show the usability of the implemented training platform.

scholarly journals A Station with Multiple Head-Mounted Displays for Learning Advanced Driver Assistance Systems

2017 ◽  
Author(s):  
Kareem Abdelgawad ◽  
Jürgen Gausemeier ◽  
Jörg Stöcklein ◽  
Michael Grafe ◽  
Jan Berssenbrügge ◽  
...  
Keyword(s):  
Driving Simulator ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Driving Simulators ◽  
Essential Information ◽  
Advanced Driver Assistance Systems ◽  
Head Mounted Display ◽  
Head Mounted Displays ◽  
Assistance Systems ◽  
Training Station

Advanced driver assistance systems (ADAS) are technologies that provide drivers with essential information or take over difficult and repetitive tasks. They contribute to improving road safety and increasing driving comfort. Apart from the technical development challenges, training and demonstration of ADAS in safe environments are important concerns for automobile manufacturers and suppliers. This paper presents the concept and prototypical implementation of an innovative training station for learning ADAS with driving simulators. The training station has a scalable and modular architecture, so that more than one driving simulator can be connected to a common instructor unit. Fully immersive visualization is provided by utilizing head-mounted displays for the participating driving simulators. The instructor unit consists of a computer with a developed software tool for session control, monitoring, and evaluation. Moreover, the instructor can use a head-mounted display and participate within the same virtual environment of a selected trainee. A simulation model for an autonomous driving system was implemented and a group of test persons were involved to show the usability and validity of the developed training station for ADAS learning and demonstration.

scholarly journals A Station with Multiple Head-Mounted Displays for Learning Advanced Driver Assistance Systems

2017 ◽  
Author(s):  
Kareem Abdelgawad ◽  
Jürgen Gausemeier ◽  
Jan Berssenbrügge ◽  
Jörg Stöcklein
Keyword(s):  
Driving Simulator ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Driving Simulators ◽  
Essential Information ◽  
Advanced Driver Assistance Systems ◽  
Head Mounted Display ◽  
Head Mounted Displays ◽  
Assistance Systems ◽  
Training Station

Advanced driver assistance systems (ADAS) are technologies that provide drivers with essential information or take over difficult and repetitive tasks. They contribute to improving road safety and increasing driving comfort. Apart from the technical development challenges, training and demonstration of ADAS in safe environments are important concerns for automobile manufacturers and suppliers. This paper presents the concept and prototypical implementation of an innovative training station for learning ADAS with driving simulators. The training station has a scalable and modular architecture, so that more than one driving simulator can be connected to a common instructor unit. Fully immersive visualization is provided by utilizing head-mounted displays for the participating driving simulators. The instructor unit consists of a computer with a developed software tool for session control, monitoring, and evaluation. Moreover, the instructor can use a head-mounted display and participate within the same virtual environment of a selected trainee. A simulation model for an autonomous driving system was implemented and a group of test persons were involved to show the usability and validity of the developed training station for ADAS learning and demonstration.

scholarly journals Validity of Mental Workload Measures in a Driving Simulation Environment

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Francesco Galante ◽  
Fabrizio Bracco ◽  
Carlo Chiorri ◽  
Luigi Pariota ◽  
Luigi Biggero ◽  
...  
Keyword(s):  
Driving Simulator ◽  
Mental Workload ◽  
Critical Issue ◽  
Simulation Environment ◽  
Driving Simulators ◽  
The Road ◽  
Mixed Support ◽  
Vehicle Systems ◽  
Driving Task ◽  
On The Road

Automated in-vehicle systems and related human-machine interfaces can contribute to alleviating the workload of drivers. However, each new functionality can also introduce a new source of workload, due to the need to attend to new tasks and thus requires careful testing before being implemented in vehicles. Driving simulators have become a viable alternative to on-the-road tests, since they allow optimal experimental control and high safety. However, for each driving simulator to be a useful research tool, for each specific task an adequate correspondence must be established between the behavior in the simulator and the behavior on the road, namely, the simulator absolute and relative validity. In this study we investigated the validity of a driving-simulator-based experimental environment for research on mental workload measures by comparing behavioral and subjective measures of workload of the same large group of participants in a simulated and on-road driving task on the same route. Consistent with previous studies, mixed support was found for both types of validity, although results suggest that allowing more and/or longer familiarization sessions with the simulator may be needed to increase its validity. Simulator sickness also emerged as a critical issue for the generalizability of the results.

scholarly journals Does Simulator Sickness Impair Learning Decision Making While Driving a Police Vehicle? | Le mal du simulateur: un frein à l’apprentissage de la prise de décision en conduite d’un véhicule de police?

2015 ◽  
Vol 41 (2) ◽  
Author(s):  
Eve Paquette ◽  
Danielle-Claude Bélanger
Keyword(s):  
Decision Making ◽  
Driving Simulator ◽  
Training Session ◽  
Police Training ◽  
Simulator Sickness ◽  
Initial Training ◽  
Driving Simulators ◽  
Prise De Décision ◽  
Competencies Development

The use of driving simulators is an innovation for police training in Quebec. There are some issues related to their impact on training objectives. This article presents the results of a study involving 71 police cadets who participated in six training sessions with a driving simulator. The training sessions were designed to competencies development to make decisions during emergency driving and pursuit. The nature and consequences of the discomfort experienced by the participants is described. The results highlight the importance of the initial training session. Issues related to providing trainees with adequate support are discussed. Le simulateur de conduite est un outil pédagogique novateur pour la formation policière au Québec. Il comporte des enjeux à l’égard de l’atteinte des objectifs pédagogiques visés. L’article présente les résultats d’une recherche menée auprès de 71 aspirants policiers ayant participé à une formation de six séances au simulateur de conduite visant le développement des compétences en matière de prise de décision en conduite d’urgence et en poursuite. Les résultats dressent un portrait des malaises ressentis par les participants et de leurs impacts. Les résultats montrent également l’importance de la première séance. La discussion s’attarde aux enjeux liés à l’accompagnement des apprenants.

scholarly journals The Effects on Driving Behavior When Using a Head-mounted Display in a Dynamic Driving Simulator

2022 ◽  
Vol 19 (1) ◽  
pp. 1-18
Author(s):  
Björn Blissing ◽  
Fredrik Bruzelius ◽  
Olle Eriksson
Keyword(s):  
Driving Simulator ◽  
Driving Behavior ◽  
Display Type ◽  
Head Mounted Display ◽  
Head Mounted Displays ◽  
Primary Display ◽  
Display Technology ◽  
Driving Task ◽  
Display Resolution ◽  
New Generation

Driving simulators are established tools used during automotive development and research. Most simulators use either monitors or projectors as their primary display system. However, the emergence of a new generation of head-mounted displays has triggered interest in using these as the primary display type. The general benefits and drawbacks of head-mounted displays are well researched, but their effect on driving behavior in a simulator has not been sufficiently quantified. This article presents a study of driving behavior differences between projector-based graphics and head-mounted display in a large dynamic driving simulator. This study has selected five specific driving maneuvers suspected of affecting driving behavior differently depending on the choice of display technology. Some of these maneuvers were chosen to reveal changes in lateral and longitudinal driving behavior. Others were picked for their ability to highlight the benefits and drawbacks of head-mounted displays in a driving context. The results show minor changes in lateral and longitudinal driver behavior changes when comparing projectors and a head-mounted display. The most noticeable difference in favor of projectors was seen when the display resolution is critical to the driving task. The choice of display type did not affect simulator sickness nor the realism rated by the subjects.

scholarly journals Comparative Analysis of Kinect-Based and Oculus-Based Gaze Region Estimation Methods in a Driving Simulator

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 26
Author(s):  
David González-Ortega ◽  
Francisco Javier Díaz-Pernas ◽  
Mario Martínez-Zarzuela ◽  
Míriam Antón-Rodríguez
Keyword(s):  
Virtual Reality ◽  
Comparative Analysis ◽  
Driving Simulator ◽  
Estimation Method ◽  
Estimation Methods ◽  
Gaze Estimation ◽  
Driving Simulators ◽  
Oculus Rift ◽  
Gaze Patterns ◽  
And Performance

Driver’s gaze information can be crucial in driving research because of its relation to driver attention. Particularly, the inclusion of gaze data in driving simulators broadens the scope of research studies as they can relate drivers’ gaze patterns to their features and performance. In this paper, we present two gaze region estimation modules integrated in a driving simulator. One uses the 3D Kinect device and another uses the virtual reality Oculus Rift device. The modules are able to detect the region, out of seven in which the driving scene was divided, where a driver is gazing at in every route processed frame. Four methods were implemented and compared for gaze estimation, which learn the relation between gaze displacement and head movement. Two are simpler and based on points that try to capture this relation and two are based on classifiers such as MLP and SVM. Experiments were carried out with 12 users that drove on the same scenario twice, each one with a different visualization display, first with a big screen and later with Oculus Rift. On the whole, Oculus Rift outperformed Kinect as the best hardware for gaze estimation. The Oculus-based gaze region estimation method with the highest performance achieved an accuracy of 97.94%. The information provided by the Oculus Rift module enriches the driving simulator data and makes it possible a multimodal driving performance analysis apart from the immersion and realism obtained with the virtual reality experience provided by Oculus.

scholarly journals Review of Studies on Older Drivers’ Behavior and Stress—Methods, Results, and Outlook

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3503
Author(s):  
Yanning Zhao ◽  
Toshiyuki Yamamoto
Keyword(s):  
Age Groups ◽  
Older Drivers ◽  
Driving Simulators ◽  
Driving Experience ◽  
Older Driver ◽  
Vehicle Data ◽  
Vehicle Systems ◽  
Questionnaire Surveys ◽  
Definition Of ◽  
Short Time

This paper presents a review on relevant studies and reports related to older drivers’ behavior and stress. Questionnaires, simulators, and on-road/in-vehicle systems are used to collect driving data in most studies. In addition, research either directly compares older drivers and the other drivers or considers participants according to various age groups. Nevertheless, the definition of ‘older driver’ varies not only across studies but also across different government reports. Although questionnaire surveys are widely used to affordably obtain massive data in a short time, they lack objectivity. In contrast, biomedical information can increase the reliability of a driving stress assessment when collected in environments such as driving simulators and on-road experiments. Various studies determined that driving behavior and stress remain stable regardless of age, whereas others reported degradation of driving abilities and increased driving stress among older drivers. Instead of age, many researchers recommended considering other influencing factors, such as gender, living area, and driving experience. To mitigate bias in findings, this literature review suggests a hybrid method by applying surveys and collecting on-road/in-vehicle data.

Traffic accident and emission reduction through intermittent release measures for heavy fog weather

2015 ◽  
Vol 29 (25) ◽  
pp. 1550148 ◽  
Author(s):  
Jing Shi ◽  
Jin-Hua Tan
Keyword(s):  
Traffic Safety ◽  
Emission Reduction ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Driving Simulator ◽  
Emission Characteristics ◽  
Driving Behaviors ◽  
Ca Model ◽  
Reduce Emissions

Heavy fog weather can increase traffic accidents and lead to freeway closures which result in delays. This paper aims at exploring traffic accident and emission characteristics in heavy fog, as well as freeway intermittent release measures for heavy fog weather. A driving simulator experiment is conducted for obtaining driving behaviors in heavy fog. By proposing a multi-cell cellular automaton (CA) model based on the experimental data, the role of intermittent release measures on the reduction of traffic accidents and CO emissions is studied. The results show that, affected by heavy fog, when cellular occupancy [Formula: see text], the probability of traffic accidents is much higher; and CO emissions increase significantly when [Formula: see text]. After an intermittent release measure is applied, the probability of traffic accidents and level of CO emissions become reasonable. Obviously, the measure can enhance traffic safety and reduce emissions.

6-DOF Motion System of Amphibious Vehicle Driving Simulator Motion Parameter Design Research

2011 ◽  
Vol 460-461 ◽  
pp. 704-709
Author(s):  
Shu Tao Zheng ◽  
Zheng Mao Ye ◽  
Jun Jin ◽  
Jun Wei Han
Keyword(s):  
Design Research ◽  
Driving Simulator ◽  
Motion Parameter ◽  
Driving Simulators ◽  
Motion System ◽  
Vehicle Acceleration ◽  
Vehicle Driving Simulator ◽  
Simulator Motion ◽  
Result Analysis ◽  
The Relationship

Vehicle driving simulators are widely employed in training and entertainment utilities because of its safe, economic and efficient. Amphibious vehicle driving simulator was used to simulate amphibious vehicle on land and in water. Because of the motion difference between aircraft and amphibious vehicle, it is necessary to design a reasonable 6-DOF motion system according to the flight simulator motion system standard and vehicle motion parameter. FFT of DSP and PSD were used to analysis the relationship between them. Finally according to the result analysis, a set of reasonable 6-DOF motion system motion parameter was given to realize the driving simulator motion cueing used to reproduce vehicle acceleration.

First-Attempt Success Rate of Ultrasound-Guided Peripheral IV Access using a Handheld Ultrasound Machine in a Simulation Model

2021 ◽  
Vol 104 (Suppl. 1) ◽  
pp. S30-S34
Keyword(s):  
Simulation Model ◽  
Success Rate ◽  
Training Session ◽  
Confidence Score ◽  
Ultrasound Guided ◽  
Emergency Nurses ◽  
Handheld Ultrasound ◽  
Kolmogorov Smirnov ◽  
Application Data ◽  
Time Required

Background: Although peripheral Intravenous (IV) cannulation is a routine procedure performed by nurses, IV access can be difficult to achieve, particularly in emergency patients who have critical illnesses. Ultrasound is used in this procedure to increase the success rate in novice practitioners. Objective: We aimed to determine the first-attempt success rate of ultrasound-guided peripheral IV (USGPIV) performed by emergency nurses in simulation model after having undergone training in the procedure. Materials and Methods: This was prospective descriptive study. The participants consisted of 61 emergency nurses at Srinagarind Hospital Emergency Department from January to April 2020. USGPIV cannulation training was provided by an emergency physician who is also a specialist in emergency ultrasound. After training, we calculated the number of attempts and time required to successfully complete USGPIV in a simulation model. Following this, participants responded to a questionnaire to evaluate their confidence in performing the procedure, as well as its feasibility and practical application. Data were analyzed using a Kolmogorov-Smirnov test, and p<0.05 was considered to be significant. Results: Sixty-one emergency nurses were included. The first-attempt success rate of USGPIV was 85.25% (95% CI 0.761, 0.944), and the mean time required was 47.33+4.89 sec. (95% CI 37.547, 57.103). Fifty-nine participants (96.72%) completed the questionnaire. All items had a mean score of greater than 3 points, with confidence score being the highest. Conclusion: Emergency nurses with no previous experience with USGPIV were able to perform a simulated version of the procedure with a high first-attempt success rate after a short training session. Further studies should be conducted to evaluate nurses’ USGPIV competency in real patients. Keywords: Ultrasound, Peripheral IV cannulation, Emergency medicine, Emergency nurse

Sign in / Sign up

Export Citation Format

Share Document