2026-03-14T17:57:40Z https://ipsj.ixsq.nii.ac.jp/oai

oai:ipsj.ixsq.nii.ac.jp:00236016 2025-01-19T09:25:41Z 6504:11678:11689

Collision Detection and Responsibility Assignment in Traffic Accidents Using Object Detection, Knowledge System, and Open Data アベウノヘルトン, ヤウヴ 菊地, 真人 大囿, 忠親 人工知能と認知科学 This study addresses the timely determination of actor responsibilities in post-traffic accidents, essential for victim compensation. The previous system, utilizing driving recorder videos and a rule-based knowledge system, showed good performance but was limited to specific crash scenarios, requiring manual input. To overcome limitations, this research integrates open data, specifically leveraging the OpenStreetMap API, to enhance responsibility assessment. Improvements in crash and traffic light recognition models, along with OpenStreetMap API integration, significantly boost performance, especially in nighttime scenarios. The refined system achieves a 55% success rate, surpassing the previous 46%-53%, showcasing enhanced responsibility evaluation capabilities. conference paper 情報処理学会 2024-03-01 application/pdf 第86回全国大会講演論文集 1 2024 345 346 AN00349328 https://ipsj.ixsq.nii.ac.jp/record/236016/files/IPSJ-Z86-7Q-04.pdf eng