An Estimation Method of Road Surface Condition on Winter Expressway via Mobile Nets using In-vehicle Camera Images

Tomoyuki Takase; Sho Takahashi; Toru Hagiwara; Tomonori Ohiro; Yuji Iwasaki; Teppei Mori; Yasushi Hanatsuka

doi:10.1109/GCCE53005.2021.9621866

An Estimation Method of Road Surface Condition on Winter Expressway via Mobile Nets using In-vehicle Camera Images

Tomoyuki Takase, Sho Takahashi, Toru Hagiwara, Tomonori Ohiro, Yuji Iwasaki, Teppei Mori, Yasushi Hanatsuka

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

This paper proposes a novel method of road surface condition on winter expressway via Mobile Nets using invehicle camera images. In the proposed method, by utilizing obtained data from actual vehicles on the winter expressway, the classification model for estimating road surface conditions from in-vehicle camera images is constructed. The classifying road surface conditions are Dry, Semi-wet, Wet, Slush, and Snow. By utilizing the classification results, the effort of the road surface management work will be reduced. The effectiveness of our method is verified by utilizing the actual data.

Original language	English
Title of host publication	2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	109-110
Number of pages	2
ISBN (Electronic)	9781665436762
DOIs	https://doi.org/10.1109/GCCE53005.2021.9621866
Publication status	Published - 2021
Externally published	Yes
Event	10th IEEE Global Conference on Consumer Electronics, GCCE 2021 - Kyoto, Japan Duration: 2021 Oct 12 → 2021 Oct 15

Publication series

Name	2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021

Conference

Conference	10th IEEE Global Conference on Consumer Electronics, GCCE 2021
Country/Territory	Japan
City	Kyoto
Period	21/10/12 → 21/10/15

Keywords

In-vehicle camera image
Mobile Nets
Road surface condition
Winter expressway

ASJC Scopus subject areas

Computer Science Applications
Signal Processing
Biomedical Engineering
Electrical and Electronic Engineering
Media Technology
Instrumentation

Access to Document

10.1109/GCCE53005.2021.9621866

Cite this

Takase, T., Takahashi, S., Hagiwara, T., Ohiro, T., Iwasaki, Y., Mori, T., & Hanatsuka, Y. (2021). An Estimation Method of Road Surface Condition on Winter Expressway via Mobile Nets using In-vehicle Camera Images. In 2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021 (pp. 109-110). (2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCCE53005.2021.9621866

An Estimation Method of Road Surface Condition on Winter Expressway via Mobile Nets using In-vehicle Camera Images. / Takase, Tomoyuki; Takahashi, Sho; Hagiwara, Toru et al.
2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 109-110 (2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Takase, T, Takahashi, S, Hagiwara, T, Ohiro, T, Iwasaki, Y, Mori, T & Hanatsuka, Y 2021, An Estimation Method of Road Surface Condition on Winter Expressway via Mobile Nets using In-vehicle Camera Images. in 2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021. 2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021, Institute of Electrical and Electronics Engineers Inc., pp. 109-110, 10th IEEE Global Conference on Consumer Electronics, GCCE 2021, Kyoto, Japan, 21/10/12. https://doi.org/10.1109/GCCE53005.2021.9621866

Takase T, Takahashi S, Hagiwara T, Ohiro T, Iwasaki Y, Mori T et al. An Estimation Method of Road Surface Condition on Winter Expressway via Mobile Nets using In-vehicle Camera Images. In 2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 109-110. (2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021). doi: 10.1109/GCCE53005.2021.9621866

Takase, Tomoyuki ; Takahashi, Sho ; Hagiwara, Toru et al. / An Estimation Method of Road Surface Condition on Winter Expressway via Mobile Nets using In-vehicle Camera Images. 2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 109-110 (2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021).

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title = "An Estimation Method of Road Surface Condition on Winter Expressway via Mobile Nets using In-vehicle Camera Images",

abstract = "This paper proposes a novel method of road surface condition on winter expressway via Mobile Nets using invehicle camera images. In the proposed method, by utilizing obtained data from actual vehicles on the winter expressway, the classification model for estimating road surface conditions from in-vehicle camera images is constructed. The classifying road surface conditions are Dry, Semi-wet, Wet, Slush, and Snow. By utilizing the classification results, the effort of the road surface management work will be reduced. The effectiveness of our method is verified by utilizing the actual data.",

keywords = "In-vehicle camera image, Mobile Nets, Road surface condition, Winter expressway",

author = "Tomoyuki Takase and Sho Takahashi and Toru Hagiwara and Tomonori Ohiro and Yuji Iwasaki and Teppei Mori and Yasushi Hanatsuka",

note = "Funding Information: ACKNOWLEDGMENT This work was partly supported by JSPS KAKENHI Grant Numbers JP19H02254. Publisher Copyright: {\textcopyright} 2021 IEEE.; 10th IEEE Global Conference on Consumer Electronics, GCCE 2021 ; Conference date: 12-10-2021 Through 15-10-2021",

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doi = "10.1109/GCCE53005.2021.9621866",

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series = "2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021",

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AB - This paper proposes a novel method of road surface condition on winter expressway via Mobile Nets using invehicle camera images. In the proposed method, by utilizing obtained data from actual vehicles on the winter expressway, the classification model for estimating road surface conditions from in-vehicle camera images is constructed. The classifying road surface conditions are Dry, Semi-wet, Wet, Slush, and Snow. By utilizing the classification results, the effort of the road surface management work will be reduced. The effectiveness of our method is verified by utilizing the actual data.

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An Estimation Method of Road Surface Condition on Winter Expressway via Mobile Nets using In-vehicle Camera Images

Abstract

Publication series

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Keywords

ASJC Scopus subject areas

Access to Document

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