Evaluating a VR System for Collecting Safety-Critical Vehicle-Pedestrian Interactions
Fuente:
arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2023
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| _version_ | 1866914863524085760 |
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| author | Weng, Erica Mukoya, Kenta Ramanan, Deva Kitani, Kris |
| author_facet | Weng, Erica Mukoya, Kenta Ramanan, Deva Kitani, Kris |
| contents | Autonomous vehicles (AVs) require comprehensive and reliable pedestrian trajectory data to ensure safe operation. However, obtaining data of safety-critical scenarios such as jaywalking and near-collisions, or uncommon agents such as children, disabled pedestrians, and vulnerable road users poses logistical and ethical challenges. This paper evaluates a Virtual Reality (VR) system designed to collect pedestrian trajectory and body pose data in a controlled, low-risk environment. We substantiate the usefulness of such a system through semi-structured interviews with professionals in the AV field, and validate the effectiveness of the system through two empirical studies: a first-person user evaluation involving 62 participants, and a third-person evaluative survey involving 290 respondents. Our findings demonstrate that the VR-based data collection system elicits realistic responses for capturing pedestrian data in safety-critical or uncommon vehicle-pedestrian interaction scenarios. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2310_05882 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Evaluating a VR System for Collecting Safety-Critical Vehicle-Pedestrian Interactions Weng, Erica Mukoya, Kenta Ramanan, Deva Kitani, Kris Human-Computer Interaction Autonomous vehicles (AVs) require comprehensive and reliable pedestrian trajectory data to ensure safe operation. However, obtaining data of safety-critical scenarios such as jaywalking and near-collisions, or uncommon agents such as children, disabled pedestrians, and vulnerable road users poses logistical and ethical challenges. This paper evaluates a Virtual Reality (VR) system designed to collect pedestrian trajectory and body pose data in a controlled, low-risk environment. We substantiate the usefulness of such a system through semi-structured interviews with professionals in the AV field, and validate the effectiveness of the system through two empirical studies: a first-person user evaluation involving 62 participants, and a third-person evaluative survey involving 290 respondents. Our findings demonstrate that the VR-based data collection system elicits realistic responses for capturing pedestrian data in safety-critical or uncommon vehicle-pedestrian interaction scenarios. |
| title | Evaluating a VR System for Collecting Safety-Critical Vehicle-Pedestrian Interactions |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2310.05882 |