A Study on the Possibility of Machine Learning-based Cassification of Collision Deformation Classification (CDC) on the KIDAS Database for Traffic Crash Reports

Minsu Ko

講演情報

Technical Session

Technical Session PM: Opportunities and Challenges of ApplyingArtificial Intelligence (AI) and MachineLearning Techniques to Enhance VehicleSafety.

2023年4月5日(水) 14:00 〜 18:00 G301-G302, 3F, Pacifico Yokohama North

Chair: Marcus Wisch (Germany), Co-Chair: Dee Williams (United States)

Track C

16:00 〜 16:15

[Paper No.23-0326-O] A Study on the Possibility of Machine Learning-based Cassification of Collision Deformation Classification (CDC) on the KIDAS Database for Traffic Crash Reports

^○Minsu Ko¹, Jongyoung Lee², Sangchul Kim² (1.Chungbuk National University Hospital, Republic of Korea, 2.Department of Emergency Medicine, Chungbuk National University Hospital, Republic of Korea)

キーワード：Cassification of Collision Deformation Classification, KIDAS Database, Traffic Crash Reports

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