Fundamental research on visual interactions between pedestrians and vehicles at dusk and at night

2022 Fiscal Year Final Research Report

• Project/Area Number: 19K12080
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 61020:Human interface and interaction-related
• Research Institution: University of Human Environments (2021-2022); Nagoya University (2019-2020)
• Principal Investigator: HIRAYAMA Takatsugu 人間環境大学, 環境科学部, 教授 (10423021)
• Co-Investigator(Kenkyū-buntansha): MORALES・S Luis・Y 名古屋大学, 未来社会創造機構, 特任准教授 (40586244) ; 赤井 直紀 名古屋大学, 工学研究科, 助教 (40786092) ; 劉 海龍 奈良先端科学技術大学院大学, 先端科学技術研究科, 助教 (00825739)
• Project Period (FY): 2019-04-01 – 2023-03-31
• Keywords: 視覚的インタラクション / 高度運転支援 / 自動運転 / 顕著性 / 視認性 / 歩行者

Outline of Final Research Achievements

It is important to create visual interactions between vehicles (driving intelligence) and pedestrians to realize safe and secure traffic in low visibility conditions at dusk and at night. In this research project, as the main promising findings, (1) assuming next-generation headlight technology, we identified a light irradiation pattern that effectively improves the driver's visual perception of pedestrians, (2) we analyzed and mathematically modeled the behavior of pedestrians and drivers in situations where their eye contact might not be possible, and (3) we confirmed that pedestrians feel safety, security, trust, ease of decision-making, and stabilize their behavior through interactions that visually present information about the vehicle's driving intentions to pedestrians.

Free Research Field

ヒューマンコンピュータインタラクション

Academic Significance and Societal Importance of the Research Achievements

本研究で得られた知見は、歩行者が巻き込まれる交通事故の減少に貢献し、今後のインフラとして期待が高まっている自律移動体と歩行者とのインタラクションの設計に活用することができる。また、機械学習を導入したインタラクションの数理モデル化の試みは、交通以外にも対話を扱う研究分野の進展を牽引すると考える。