Jansen, Pascal;
Colley, Mark;
Wimmer, Elisabeth;
Maresch, Jan;
Rukzio, Enrico;
(2025)
HUD-SUMO: Simulacra of in-Vehicle Head-Up Displays Using SUMO to Study Large-Scale Effects.
In:
2025 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI).
(pp. pp. 1020-1025).
IEEE: Melbourne, Australia.
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Abstract
Large-scale effects of head-up displays (HUDs) are currently unknown, as experiments focus primarily on empirical data from one participant. Therefore, we simulate the impact of augmented reality (AR) windshield HUDs on driving performance. Using the open-source simulators SUMO and CARLA, we model various AR HUD settings, such as fatigue, and assess their effects on key driving factors such as reaction time, speed adherence, lane-changing behavior, and acceleration. The HUD settings include brightness, information frequency, field of view, and relevance of displayed information. The simulation provides insight into how different HUD configurations may influence driving behavior, contributing to future vehicle design and safety guidelines for AR HUDs.
| Type: | Proceedings paper |
|---|---|
| Title: | HUD-SUMO: Simulacra of in-Vehicle Head-Up Displays Using SUMO to Study Large-Scale Effects |
| Event: | 2025 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI) |
| Dates: | 4 Mar 2025 - 6 Mar 2025 |
| ISBN-13: | 979-8-3503-7893-1 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/hri61500.2025.10974171 |
| Publisher version: | https://doi.org/10.1109/hri61500.2025.10974171 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Automated driving; SUMO; CARLA; open source; head-up-display; driving behavior |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10208809 |
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