A Method for Detecting Damage of Traffic Marks by Half Celestial Camera Attached to Cars

Journal Title: EAI Endorsed Transactions on Cognitive Communications - Year 2015, Vol 1, Issue 5

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.

Authors and Affiliations

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

Keywords

Related Articles

Cross-Layer Design for Two-Way Relaying Networks with Multiple Antennas

In this paper, we developed a cross-layer design for two-way relaying (TWR) networks with multiple antennas, where two single antenna source nodes exchange information with the aid of one multiple antenna relay node. The...

Performance Analysis on the Coexistence of Multiple Cognitive Radio Networks

The demand for wireless services is growing on a daily basis while spectral resources to support this growth are static. Therefore, there is need for the adoption of a new spectrum sharing paradigm. Cognitive Radio (CR)...

TimeNET Optimization Environment

In this paper a novel tool for simulation-based optimization and design-space exploration of Stochastic Colored Petri nets (SCPN) is introduced. The working title of this tool is TimeNET Optimization Environment (TOE). T...

Spectrum Sensing and Throughput Analysis for Full-Duplex Cognitive Radio with Hardware Impairments

In Full-d uplex Cognitiv e Radios, the silen t period of the Secondary User (SU) during the Spectrum Sensing can be elimina ted by appl ying the Self -Interf erence Cancella tion (SIC). Due to the channel estima tion err...

An Empirical Measurement of Signal Attenuation and BER of IEEE 802.15.6 HBC using a phantom solution

The implementation of an IEEE 802.15.6 section 10 com- pliant human body communications (HBC) transceiver re- quires an understanding of the signal integrity expected at the receiver. This paper focuses on the reception...

Download PDF file
  • EP ID EP45637
  • DOI http://dx.doi.org/10.4108/eai.22-7-2015.2260306
  • Views 220
  • Downloads 0

How To Cite

Takafumi Kawasaki, Takeshi Iwamoto, Michito Matsumoto, Takuro Yonezawa, Jin Nakazawa, Kazunori Takashio, Hideyuki Tokuda (2015). A Method for Detecting Damage of Traffic Marks by Half Celestial Camera Attached to Cars. EAI Endorsed Transactions on Cognitive Communications, 1(5), -. https://europub.co.uk/articles/-A-45637