@inproceedings{oai:ipsj.ixsq.nii.ac.jp:00236016,
 author = {アベウノヘルトン, ヤウヴ and 菊地, 真人 and 大囿, 忠親},
 book = {第86回全国大会講演論文集},
 issue = {1},
 month = {Mar},
 note = {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.},
 pages = {345--346},
 publisher = {情報処理学会},
 title = {Collision Detection and Responsibility Assignment in Traffic Accidents Using Object Detection, Knowledge System, and Open Data},
 volume = {2024},
 year = {2024}
}