Prof Vassilis Charisis V.Charisis@napier.ac.uk
Professor
Head Up Displays (HUDs) have recently enjoyed substantial research attention due to their wide scope of application and promise of real time information superimposed in the external scene environment. To this end we developed a prototype HUD interface that could enhance driver’s spatial and situational awareness under low visibility conditions. The system’s effectiveness was evaluated using two different simulation methods: a non-immersive (2D) and a semi-immersive (VR) driving simulator. In order to validate the results of our previous research on the effectiveness of our proposed HUD interface, we conducted a comparative study of the results derived from both simulators. Particular emphasis has been placed on the impact that the two simulation techniques had on drivers’ preferences with regard to the interface’s functionalities.
Charissis, V., Papanastasiou, S., & Patera, M. (2007, December). Human machine interface for prototype head up display. Presented at Transport Science and Technology Congress (TRANSTEC), Prague
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | Transport Science and Technology Congress (TRANSTEC) |
Publication Date | 2007 |
Deposit Date | Jul 7, 2023 |
Pages | 290-299 |
Book Title | Transport Science and Technology Congress (TRANSTEC) Prague 2007 |
ISBN | 9788001037829 |
Keywords | driving simulation; virtual reality; driving simulator; 3D visualisation; head up display; open source; intelligent transportation systems; collision avoidance |
Public URL | http://researchrepository.napier.ac.uk/Output/3064563 |
Virtual Rehabilitation: XR Design for Senior Users in Immersive Exergame Environments
(2024)
Presentation / Conference Contribution
Augmented Reality AI Co-Driver: Impact on Drivers Perceived Experience and Safety
(2023)
Presentation / Conference Contribution
Use and operational safety
(2023)
Book Chapter
A stacking ensemble of deep learning models for IoT intrusion detection
(2023)
Journal Article
Federated Learning for IoT Intrusion Detection
(2023)
Journal Article
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search