J
Jian Wang
Researcher at Beijing Jiaotong University
Publications - 178
Citations - 2040
Jian Wang is an academic researcher from Beijing Jiaotong University. The author has contributed to research in topics: GNSS applications & Inertial navigation system. The author has an hindex of 20, co-authored 155 publications receiving 1423 citations. Previous affiliations of Jian Wang include University of Nottingham & PDF Solutions.
Papers
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Journal ArticleDOI
A Bluetooth/PDR Integration Algorithm for an Indoor Positioning System.
Xin Li,Jian Wang,Chunyan Liu +2 more
TL;DR: Two schemes for indoor positioning by fusing Bluetooth beacons and a pedestrian dead reckoning (PDR) technique to provide meter-level positioning without additional infrastructure are proposed to improve the positioning accuracy and the elimination of various phenomena.
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Multiobjective Optimization for Train Speed Trajectory in CTCS High-Speed Railway With Hybrid Evolutionary Algorithm
TL;DR: A hybrid evolutionary algorithm is designed and applied to solve the model based on the differential evolution and simulating annealing algorithms for obtaining the Pareto frontier of train speed trajectory, which has equal satisfaction degree on all the objects.
Journal ArticleDOI
Cooperative Localization of Connected Vehicles: Integrating GNSS With DSRC Using a Robust Cubature Kalman Filter
Jiang Liu,Baigen Cai,Jian Wang +2 more
TL;DR: A novel robust cubature Kalman filter (CKF) is proposed in this paper to improve the performance of the data fusion under uncertain sensor observation environments and has the capability of improving the robustness and adaptive performance over the original filters under the unknown operation conditions.
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A Tightly-Coupled GPS/INS/UWB Cooperative Positioning Sensors System Supported by V2I Communication
TL;DR: The result of the trial conducted on the roof of the Nottingham Geospatial Institute at the University of Nottingham shows that the integrated solution provides better accuracy and improves the availability of the system in GPS denied environments.
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GPS/INS/Odometer Integrated System Using Fuzzy Neural Network for Land Vehicle Navigation Applications
TL;DR: The results indicate that the proposed method can improve the position, velocity and attitude accuracy of the integrated system, especially the position parameters, over long GPS outages.