Deep Learning-Based Stopped Vehicle Detection Method Utilizing In-Vehicle Dashcams

Authors

Yongseok Lim
Jae-Yong Lee
Yongju Park (ORCID: https://orcid.org/0000-0003-3528-3648)
Jinuk Park (ORCID: https://orcid.org/0000-0003-0424-8225)

Institutions

Korea Electronics Technology Institute (KR)

Publication Details

Journal: Electronics
Published: 2024-10-17
DOI: https://doi.org/10.3390/electronics13204097
Citations: 2
Primary Topic: Advanced Neural Network Applications
Type: article
Field-Weighted Citation Impact: 0.50

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article

Deep Learning-Based Stopped Vehicle Detection Method Utilizing In-Vehicle Dashcams

Yongseok Lim, Jae-Yong Lee, Yongju Park, Jinuk Park

Oct 17, 2024

2 citations

Electronics

Advanced Neural Network Applications

0.50

article

Deep Learning-Based Stopped Vehicle Detection Method Utilizing In-Vehicle Dashcams

Yongseok Lim, Jae-Yong Lee, Yongju Park, Jinuk Park

October 17, 2024article en

2 citations

Abstract

No abstract available for this paper.

ElectronicsVol. 13(20)

Korea Electronics Technology Institute (KR)

Sustainable cities and communities

Openalex Percentile: Top 34%

Advanced Neural Network Applications

0.50

DOI Open Access PDF OpenAlex

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Deep Learning-Based Stopped Vehicle Detection Method Utilizing In-Vehicle Dashcams — Yongseok Lim, Jae-Yong Lee, et al. · Electronics (2024) | TGRS Research Map | TGRS