対話認識型ドライバーモデルの人間らしさを評価する方法
How to Evaluate Human-likeness of Interaction-aware Driver Models
自動運転車のドライバーモデルが人間らしいかどうかを、映像実験と体験実験のアンケートで定性的に評価する手法を提案した研究。
著者: Jemin Woo, Changsun Ahn
分類: cs.RO, cs.SY, eess.SY
原文アブストラクト
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.