27th ESV2023

Presentation information

Print

Technical Session

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

Wed. Apr 5, 2023 2:00 PM - 6:00 PM G301-G302, 3F, Pacifico Yokohama North

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

Track C

4:00 PM - 4:15 PM

[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)

Keywords:Cassification of Collision Deformation Classification, KIDAS Database, Traffic Crash Reports

Abstract password authentication.
To access the abstracts on the Conference Application, please input the password provided on your registration“My Page”.

Password