Work

Enhanced Spatiotemporal Feature Detection Model based on an Inflated 3D ConvNet and Transformers for Traffic Accident Detection

Year: 2025

Type: article

Source: The Journal of Korean Institute of Information Technology

DOI: 10.14801/jkiit.2025.23.2.1

Authors: Sung-An Yoon, Eunsung Lee, Jeongho Cho

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: closed

Funders: Soonchunhyang University, Ministry of Education, National Research Foundation of Korea

Award: G7999380707

OpenAlex ID: W4408272162

FWCI:

Cites: 18

Cited by:

Related to: 10