AWSIM-VR: A Tightly-Coupled Virtual Reality Extension for Human-in-the-Loop Pedestrian-Autonomous Vehicle Interaction
Effective communication between autonomous vehicles (AVs) and pedestrians is crucial for ensuring future urban traffic safety. While external Human-Machine Interfaces (eHMIs) have emerged as promising solutions, current evaluation methodologies — particularly Virtual Reality (VR)-based studies — typically rely on scripted or pre-defined autonomous vehicle behaviors, limiting realism and neglecting pedestrians’ active role in interactions. To address this, we introduce AWSIM-VR, a tightly-coupled VR extension of the AWSIM autonomous driving simulator, enabling real-time, human-in-the-loop pedestrian-AV interactions by directly integrating unmodified, real autonomous driving software (Autoware) into the simulation loop. Unlike previous systems, AWSIM-VR provides authentic, bidirectional interaction: pedestrians’ actions dynamically influence vehicle decision-making and eHMI responses in real-time, closely emulating real-world AV scenarios. In user studies directly comparing AWSIM-VR to existing methodologies, participants reported significantly higher perceived realism and immersion, underscoring the importance of authentic autonomous behaviors in VR-based pedestrian interaction research. By directly utilizing production-level autonomous driving stacks, AWSIM-VR represents a significant methodological advancement, enabling more realistic, effective, and safer development and evaluation of eHMIs and AV technologies.
Authors
- Shuqi Zhang (ORCID: https://orcid.org/0009-0006-8393-4184)
- Alex Orsholits (ORCID: https://orcid.org/0000-0001-8517-8753)
- Manabu Tsukada (ORCID: https://orcid.org/0000-0001-8045-3939)
- Ehsan Javanmardi (ORCID: https://orcid.org/0000-0003-0337-115X)
Institutions
- The University of Tokyo (JP)
Publication Details
- Published
- 2025-08-27
- DOI
- https://doi.org/10.1109/metacom65502.2025.00063
- Primary Topic
- Autonomous Vehicle Technology and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00