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      How to Evaluate Human-likeness of Interaction-aware Driver Models

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          Abstract

          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.

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          Author and article information

          Journal
          28 February 2024
          Article
          2402.18775
          3bac3476-9f55-427f-a706-ddcd7564c239

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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          Custom metadata
          cs.RO cs.SY eess.SY

          Performance, Systems & Control,Robotics
          Performance, Systems & Control, Robotics

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