How to Evaluate Human-likeness of Interaction-aware Driver Models
Fuente:
arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866914700613124096 |
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| author | Woo, Jemin Ahn, Changsun |
| author_facet | Woo, Jemin Ahn, Changsun |
| contents | This study proposes a method for qualitatively evaluating and designing human-like driver models for autonomous vehicles. While most existing research on human-likeness has been focused on quantitative evaluation, it is crucial to consider qualitative measures to accurately capture human perception. To this end, we conducted surveys utilizing both video study and human experience-based study. The findings of this research can significantly contribute to the development of naturalistic and human-like driver models for autonomous vehicles, enabling them to safely and efficiently coexist with human-driven vehicles in diverse driving scenarios. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_18775 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | How to Evaluate Human-likeness of Interaction-aware Driver Models Woo, Jemin Ahn, Changsun Robotics Systems and Control This study proposes a method for qualitatively evaluating and designing human-like driver models for autonomous vehicles. While most existing research on human-likeness has been focused on quantitative evaluation, it is crucial to consider qualitative measures to accurately capture human perception. To this end, we conducted surveys utilizing both video study and human experience-based study. The findings of this research can significantly contribute to the development of naturalistic and human-like driver models for autonomous vehicles, enabling them to safely and efficiently coexist with human-driven vehicles in diverse driving scenarios. |
| title | How to Evaluate Human-likeness of Interaction-aware Driver Models |
| topic | Robotics Systems and Control |
| url | https://arxiv.org/abs/2402.18775 |