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Detecting crack type and crack size is crucial for road maintenance and management. Mobile crowd sensing is a new way to collect the information of cracks on roads. We propose a system named CrackDetector to detect cracks and estimate their types and size with smart phone in this paper. The type of a crack (i.e., horizontal crack, vertical crack, net crack) is determined by a coordinate transmission...
Urban traffic congestion state detection has been a problem of concern at home and abroad. The mainstream and traditional ways to detect traffic congestion state include manual survey, fixed traffic information collection technology and mobile traffic information collection technology. These methods all have obvious flaws such as the sample size of these methods is limited and additional equipment...
This paper presents a supervoxel-based approach for automated localization and extraction of street light poles in point clouds acquired by a mobile LiDAR system. The method consists of five steps: preprocessing, localization, segmentation, feature extraction, and classification. First, the raw point clouds are divided into segments along the trajectory, the ground points are removed, and the remaining...
This paper presents a new algorithm to directly extract 3D road boundaries from mobile laser scanning (MLS) point clouds. The algorithm includes two stages: 1) non-ground point removal by a voxel-based elevation filter, and 2) 3D road surface extraction by curb-line detection based on energy minimization and graph cuts. The proposed algorithm was tested on a dataset acquired by a RIEGL VMX-450 MLS...
Cognitive Radio (CR) is a promising technology to solve the spectrum scarcity. Spectrum sensing becomes more challenging in Cognitive Vehicular Networks (CVNs) due to Secondary Users (SUs) mobility. Current studies on cooperative spectrum sensing usually assume that sensors are static and independent, which is unreasonable in vehicular networks with dense traffic. In this paper, we investigate the...
This paper proposes a data forwarding scheme called Trajectory-based Statistical Forwarding (TSF), tailored for the data delivery from infrastructure nodes (e.g., Internet access points) to moving vehicles in vehicular networks. To our knowledge, this paper presents the first attempt to investigate how to effectively utilize the packet destination vehicle's trajectory for such an infrastructure-to-vehicle...
Traffic information collecting and distribution are necessary in intelligent transportation systems, which require two-way communications for cars to transmit and receive traffic information. The GSM network has an LCS function, and cell phones using AGPS technology could provide location with relatively high accuracy. Road traffic information, such as speed, rates of flow, density, and travel time,...
Target classification is an important enabling technology for the monitoring task in transportation sensing networks. In the paper the magnetic signal and seismic acceleration signal are collected, analyzed and transmitted for a mobile road target. A classification algorithm based on the sensor network is proposed, which adopts a peak and valley pattern of hybrid detection signals from different sensors...
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