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Low-cost realtime horizontal curve detection using inertial sensors of a smartphone

Title
Low-cost realtime horizontal curve detection using inertial sensors of a smartphone
Authors
Zhang, S.Won, M.Son, S.H.
DGIST Authors
Son, S.H.
Issue Date
2017
Citation
84th IEEE Vehicular Technology Conference, VTC Fall 2016
Type
Conference
Article Type
Conference Paper
ISBN
9781510000000
ISSN
1550-2252
Abstract
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 developing a mobile road inventory system based on off-the-shelf smartphones. The proposed system is capable of accurately detecting various kinds of horizontal curves by synthesizing heterogeneous smartphone sensor data to generate curve models by exploiting a machine learning technique. We implemented the system on iOS-based smartphones and tested with more than 400-miles of field data. We demonstrate that the proposed system achieves a median of 93.8% curve identification accuracy with a median of 5% false positive rates. © 2016 IEEE.
URI
http://hdl.handle.net/20.500.11750/4323
DOI
10.1109/VTCFall.2016.7881077
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
  • Author Son, Sang Hyuk RTCPS(Real-Time Cyber-Physical Systems Research) Lab
  • Research Interests
Files:
There are no files associated with this item.
Collection:
ETC2. Conference Papers


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