A method for detecting damage of traffic marks by half celestial camera attached to cars

Takafumi Kawasaki, Takeshi Iwamoto, Michito Matsumoto, Takuro Yonezawa, Jin Nakazawa, Kazunori Takashio, Hideyuki Tokuda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Roads are becoming deterioration in everywhere. In some places, traffic marks painted on roads are damaged thus needed to be updated. Municipalities must manage road condition and traffic marks (road painting). It is the municipalities task to manage those roads using, for example, special inspection cars and human eyes. However, the management cost is high if a city contains many roads. This paper proposes a mechanism that automates this management. Our idea is to leverage cameras attached to garbage trucks, which run through the entire city almost everyday. The mechanism collects road images and detects damaged traffic marks using an image recognition algorithm. This paper shows the algorithm and reports the benchmark results. The benchmark showed that the mechanism can detect the damaged traffic marks with 76.6% precision.

Original languageEnglish
Title of host publicationProceedings of the 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015
PublisherICST
Pages226-233
Number of pages8
ISBN (Print)9781631900723
DOIs
Publication statusPublished - 2015
Event12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015 - Coimbra, Portugal
Duration: 2015 Jul 222015 Jul 24

Other

Other12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015
CountryPortugal
CityCoimbra
Period15/7/2215/7/24

Fingerprint

Garbage trucks
Railroad cars
Cameras
Image recognition
Painting
Deterioration
Inspection
Costs

Keywords

  • Camera
  • Car
  • Image processing
  • Smart sensing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Software

Cite this

Kawasaki, T., Iwamoto, T., Matsumoto, M., Yonezawa, T., Nakazawa, J., Takashio, K., & Tokuda, H. (2015). A method for detecting damage of traffic marks by half celestial camera attached to cars. In Proceedings of the 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015 (pp. 226-233). ICST. https://doi.org/10.4108/icst.mobiquitous.2015.260306

A method for detecting damage of traffic marks by half celestial camera attached to cars. / Kawasaki, Takafumi; Iwamoto, Takeshi; Matsumoto, Michito; Yonezawa, Takuro; Nakazawa, Jin; Takashio, Kazunori; Tokuda, Hideyuki.

Proceedings of the 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015. ICST, 2015. p. 226-233.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kawasaki, T, Iwamoto, T, Matsumoto, M, Yonezawa, T, Nakazawa, J, Takashio, K & Tokuda, H 2015, A method for detecting damage of traffic marks by half celestial camera attached to cars. in Proceedings of the 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015. ICST, pp. 226-233, 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015, Coimbra, Portugal, 15/7/22. https://doi.org/10.4108/icst.mobiquitous.2015.260306
Kawasaki T, Iwamoto T, Matsumoto M, Yonezawa T, Nakazawa J, Takashio K et al. A method for detecting damage of traffic marks by half celestial camera attached to cars. In Proceedings of the 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015. ICST. 2015. p. 226-233 https://doi.org/10.4108/icst.mobiquitous.2015.260306
Kawasaki, Takafumi ; Iwamoto, Takeshi ; Matsumoto, Michito ; Yonezawa, Takuro ; Nakazawa, Jin ; Takashio, Kazunori ; Tokuda, Hideyuki. / A method for detecting damage of traffic marks by half celestial camera attached to cars. Proceedings of the 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015. ICST, 2015. pp. 226-233
@inproceedings{19adcd28d61f46f682bdb1efcdaeda94,
title = "A method for detecting damage of traffic marks by half celestial camera attached to cars",
abstract = "Roads are becoming deterioration in everywhere. In some places, traffic marks painted on roads are damaged thus needed to be updated. Municipalities must manage road condition and traffic marks (road painting). It is the municipalities task to manage those roads using, for example, special inspection cars and human eyes. However, the management cost is high if a city contains many roads. This paper proposes a mechanism that automates this management. Our idea is to leverage cameras attached to garbage trucks, which run through the entire city almost everyday. The mechanism collects road images and detects damaged traffic marks using an image recognition algorithm. This paper shows the algorithm and reports the benchmark results. The benchmark showed that the mechanism can detect the damaged traffic marks with 76.6{\%} precision.",
keywords = "Camera, Car, Image processing, Smart sensing",
author = "Takafumi Kawasaki and Takeshi Iwamoto and Michito Matsumoto and Takuro Yonezawa and Jin Nakazawa and Kazunori Takashio and Hideyuki Tokuda",
year = "2015",
doi = "10.4108/icst.mobiquitous.2015.260306",
language = "English",
isbn = "9781631900723",
pages = "226--233",
booktitle = "Proceedings of the 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015",
publisher = "ICST",

}

TY - GEN

T1 - A method for detecting damage of traffic marks by half celestial camera attached to cars

AU - Kawasaki, Takafumi

AU - Iwamoto, Takeshi

AU - Matsumoto, Michito

AU - Yonezawa, Takuro

AU - Nakazawa, Jin

AU - Takashio, Kazunori

AU - Tokuda, Hideyuki

PY - 2015

Y1 - 2015

N2 - Roads are becoming deterioration in everywhere. In some places, traffic marks painted on roads are damaged thus needed to be updated. Municipalities must manage road condition and traffic marks (road painting). It is the municipalities task to manage those roads using, for example, special inspection cars and human eyes. However, the management cost is high if a city contains many roads. This paper proposes a mechanism that automates this management. Our idea is to leverage cameras attached to garbage trucks, which run through the entire city almost everyday. The mechanism collects road images and detects damaged traffic marks using an image recognition algorithm. This paper shows the algorithm and reports the benchmark results. The benchmark showed that the mechanism can detect the damaged traffic marks with 76.6% precision.

AB - Roads are becoming deterioration in everywhere. In some places, traffic marks painted on roads are damaged thus needed to be updated. Municipalities must manage road condition and traffic marks (road painting). It is the municipalities task to manage those roads using, for example, special inspection cars and human eyes. However, the management cost is high if a city contains many roads. This paper proposes a mechanism that automates this management. Our idea is to leverage cameras attached to garbage trucks, which run through the entire city almost everyday. The mechanism collects road images and detects damaged traffic marks using an image recognition algorithm. This paper shows the algorithm and reports the benchmark results. The benchmark showed that the mechanism can detect the damaged traffic marks with 76.6% precision.

KW - Camera

KW - Car

KW - Image processing

KW - Smart sensing

UR - http://www.scopus.com/inward/record.url?scp=84946095511&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84946095511&partnerID=8YFLogxK

U2 - 10.4108/icst.mobiquitous.2015.260306

DO - 10.4108/icst.mobiquitous.2015.260306

M3 - Conference contribution

AN - SCOPUS:84946095511

SN - 9781631900723

SP - 226

EP - 233

BT - Proceedings of the 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015

PB - ICST

ER -