Low-Cost Realtime Horizontal Curve Detection Using Inertial Sensors of a Smartphone

@article{Zhang2016LowCostRH,
  title={Low-Cost Realtime Horizontal Curve Detection Using Inertial Sensors of a Smartphone},
  author={Shaohu Zhang and Myounggyu Won and Sang Hyuk Son},
  journal={2016 IEEE 84th Vehicular Technology Conference (VTC-Fall)},
  year={2016},
  pages={1-5}
}
  • Shaohu Zhang, M. Won, S. Son
  • Published 1 September 2016
  • Computer Science
  • 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall)
Fatal accidents occur frequently on low-volume rural roads, and the accident rates are up to 4 times higher at curves. It is thus of paramount importance to perform road inventory of rural roads to develop safety plans. However, most states in U.S. face a challenge to maintain a database for low-volume rural roads due to limited funds for road inventory. In this paper, we propose to significantly reduce the cost for road inventory specifically focusing on horizontal curve detection by… 
Identification and Calculation of Horizontal Curves for Low-Volume Roadways Using Smartphone Sensors
TLDR
A low-cost mobile road inventory system for two-lane horizontal curves based on off-the-shelf smartphones capable of accurately detecting horizontal curves by exploiting a K-means machine learning technique and achieves high curve identification accuracy as well as high accuracy for calculating curve radius and superelevation.
Pavement Management Utilizing Mobile Crowd Sensing
TLDR
The process of pavement anomalies detection based on inertial data was reviewed in detail, including preparatory, data collection, and processing phases of the previous experiments, and some of the key issues in the experimental phases were investigated by previous studies, while some other challenges were not tackled or noticed.
Identification, Calculation and Warning of Horizontal Curves for Low-volume Two-lane Roadways Using Smartphone Sensors
IDENTIFICATION, CALCULATION AND WARNING OF HORIZONTAL CURVES FOR LOW-VOLUME TWO-LANE ROADWAYS USING SMARTPHONE SENSORS

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