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.

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Publication Details

Published
2025-08-27
DOI
https://doi.org/10.1109/metacom65502.2025.00063
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
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article

AWSIM-VR: A Tightly-Coupled Virtual Reality Extension for Human-in-the-Loop Pedestrian-Autonomous Vehicle Interaction

Shuqi Zhang, Alex Orsholits, Manabu Tsukada, Ehsan Javanmardi
Autonomous Vehicle Technology and Safety
article

AWSIM-VR: A Tightly-Coupled Virtual Reality Extension for Human-in-the-Loop Pedestrian-Autonomous Vehicle Interaction

Shuqi Zhang, Alex Orsholits, Manabu Tsukada, Ehsan Javanmardi
article en

Abstract

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.

The University of Tokyo (JP)
Openalex Percentile: Top 69%
Autonomous Vehicle Technology and Safety
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