Accident Prediction Model Using Divergence Between Visual Attention and Focus of Expansion in Vehicle-Mounted Camera Images-Reference-Cited by-同舟云学术

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Accident Prediction Model Using Divergence Between Visual Attention and Focus of Expansion in Vehicle-Mounted Camera Images

Published:2023 Issue: Volume:11 Page:140116-140125
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Maruyama Yuta¹^ORCID,Ohashi Gosuke¹^ORCID

Affiliation:

1. Department of Electrical and Electronic Engineering, Shizuoka University, Hamamatsu, Japan

Funder

Suzuki Foundation Science and Technology Research Grant

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10345538.pdf?arnumber=10345538

Reference67 articles.

1. Anticipating Accidents in Dashcam Videos

2. Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning

3. CADP: A Novel Dataset for CCTV Traffic Camera based Accident Analysis

4. Unsupervised Traffic Accident Detection in First-Person Videos

5. Agent-Centric Risk Assessment: Accident Anticipation and Risky Region Localization

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