Yuan Kun

ORCID: 0000-0003-2345-4593
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About
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Research Areas
  • Asphalt Pavement Performance Evaluation
  • Indoor and Outdoor Localization Technologies
  • Inertial Sensor and Navigation
  • Target Tracking and Data Fusion in Sensor Networks
  • Civil and Geotechnical Engineering Research
  • Grouting, Rheology, and Soil Mechanics
  • Metallurgy and Material Science
  • Infrastructure Maintenance and Monitoring
  • Polymer Nanocomposites and Properties
  • Agriculture, Soil, Plant Science

Beijing Institute of Technology
2013-2022

Ministry of Transport
2018

Radio frequency identification (RFID) technology is one of the main means to obtain location data production elements such as personnel and materials in intelligent workshops, but its positioning accuracy has many uncertainties. In order map transportation trajectory workshop digital space more accurately, this paper adopts a nonlinear Kalman filter-based RFID fusion algorithm. Firstly, good estimation performance filters extended filter (EKF) unscented (UKF) utilized, motion process...

10.1145/3565387.3565440 article EN The 5th International Conference on Computer Science and Application Engineering 2022-10-21
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