World's Best Scientists 2026 revealed!
Xiaoji Niu

Xiaoji Niu

D-Index & Metrics

Computer Science

D-Index
46
Citations
8508
World Ranking
6858
National Ranking
918

Overview

Xiaoji Niu is affiliated with Wuhan University in China, where they contribute to the field of engineering, with a particular focus on aerospace engineering and related disciplines. Their research portfolio spans diverse aspects of inertial sensor technology, navigation systems, and robotic localization methodologies. The scientist's work integrates multiple advanced technologies to address challenges in positioning and sensor fusion.

The main fields of study associated with Xiaoji Niu include:

  • Engineering

Within this broader field, their subfields of study comprise:

  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Geology
  • Ocean Engineering

Their research themes prominently revolve around:

  • Indoor and Outdoor Localization Technologies
  • Inertial Sensor and Navigation
  • Robotics and Sensor-Based Localization
  • GNSS Positioning and Interference
  • 3D Surveying and Cultural Heritage
  • Robotic Path Planning Algorithms
  • Target Tracking and Data Fusion in Sensor Networks

Xiaoji Niu has published extensively in several journals and conference proceedings. The frequent venues where their research appears include:

  • IEEE Sensors Journal
  • arXiv (Cornell University)
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Instrumentation and Measurement
  • IEEE Internet of Things Journal

Selected recent publications from their work include:

  • "Estimate the Pitch and Heading Mounting Angles of the IMU for Land Vehicular GNSS/INS Integrated System" (2020), IEEE Transactions on Intelligent Transportation Systems
  • "GNSS/IMU/ODO/LiDAR-SLAM Integrated Navigation System Using IMU/ODO Pre-Integration" (2020), Sensors
  • "Impact of the Earth Rotation Compensation on MEMS-IMU Preintegration of Factor Graph Optimization" (2022), IEEE Sensors Journal
  • "IC-GVINS: A Robust, Real-Time, INS-Centric GNSS-Visual-Inertial Navigation System" (2022), IEEE Robotics and Automation Letters
  • "Impact Assessment of Various IMU Error Sources on the Relative Accuracy of the GNSS/INS Systems" (2020), IEEE Sensors Journal

Collaboration is a significant aspect of Xiaoji Niu's research, with frequent co-authors including:

  • Jian Kuang
  • Tisheng Zhang
  • Hailiang Tang
  • Quan Zhang
  • Jingnan Liu

Through these collaborations and publications, Xiaoji Niu has engaged deeply with topics central to navigation technology, sensor integration, and robotics, contributing to developments in both practical systems and theoretical optimization.

Best Publications

  • Analysis and Modeling of Inertial Sensors Using Allan Variance

    N. El-Sheimy;Haiying Hou;Xiaoji Niu

  • A new multi-position calibration method for MEMS inertial navigation systems

    Z F Syed;P Aggarwal;C Goodall;X Niu

  • A Standard Testing and Calibration Procedure for Low Cost MEMS Inertial Sensors and Units

    P. Aggarwal;Z. Syed;X. Niu;N. El-Sheimy

  • Precise orbit determination of Beidou Satellites with precise positioning

    Chuang Shi;QiLe Zhao;Min Li;WeiMing Tang

  • High-rate precise point positioning (PPP) to measure seismic wave motions: an experimental comparison of GPS PPP with inertial measurement units

    Peiliang Xu;Chuang Shi;Rongxin Fang;Jingnan Liu

  • Location-Enabled IoT (LE-IoT): A Survey of Positioning Techniques, Error Sources, and Mitigation

    You Li;Yuan Zhuang;Xin Hu;Zhouzheng Gao

  • Robust Pedestrian Dead Reckoning Based on MEMS-IMU for Smartphones

    Jian Kuang;Xiaoji Niu;Xingeng Chen

  • An improved inertial/wifi/magnetic fusion structure for indoor navigation

    You Li;Yuan Zhuang;Peng Zhang;Haiyu Lan

  • Toward Location-Enabled IoT (LE-IoT): IoT Positioning Techniques, Error Sources, and Error Mitigation

    You Li;Yuan Zhuang;Xin Hu;Zhouzheng Gao

  • High-Accuracy Positioning in Urban Environments Using Single-Frequency Multi-GNSS RTK/MEMS-IMU Integration

    Tuan Li;Hongping Zhang;Zhouzheng Gao;Qijin Chen

  • LiDAR Scan Matching Aided Inertial Navigation System in GNSS-Denied Environments

    Jian Tang;Yuwei Chen;Xiaoji Niu;Li-Li Wang

  • Tight Fusion of a Monocular Camera, MEMS-IMU, and Single-Frequency Multi-GNSS RTK for Precise Navigation in GNSS-Challenged Environments

    Tuan Li;Hongping Zhang;Zhouzheng Gao;Xiaoji Niu

  • GNSS/INS/LiDAR-SLAM Integrated Navigation System Based on Graph Optimization

    Le Chang;Xiaoji Niu;Tianyi Liu;Jian Tang

  • Fast Thermal Calibration of Low-Grade Inertial Sensors and Inertial Measurement Units

    Xiaoji Niu;You Li;Hongping Zhang;Qingjiang Wang

  • An Accurate Land-Vehicle MEMS IMU/GPS Navigation System Using 3D Auxiliary Velocity Updates

    Xiaoji Niu;Sameh Nassar;Naser El-Sheimy

  • A Hybrid WiFi/Magnetic Matching/PDR Approach for Indoor Navigation With Smartphone Sensors

    You Li;Yuan Zhuang;Haiyu Lan;Qifan Zhou

  • Estimate the Pitch and Heading Mounting Angles of the IMU for Land Vehicular GNSS/INS Integrated System

    Qijin Chen;Quan Zhang;Xiaoji Niu

  • Civilian Vehicle Navigation: Required Alignment of the Inertial Sensors for Acceptable Navigation Accuracies

    Z.F. Syed;P. Aggarwal;Xiaoji Niu;N. El-Sheimy

  • Autonomous Calibration of MEMS Gyros in Consumer Portable Devices

    You Li;Jacques Georgy;Xiaoji Niu;Qingli Li

  • A Railway Track Geometry Measuring Trolley System Based on Aided INS

    Qijin Chen;Xiaoji Niu;Lili Zuo;Tisheng Zhang

  • Railway Track Irregularity Measuring by GNSS/INS Integration

    Qijin Chen;Xiaoji Niu;Quan Zhang;Yahao Cheng

  • On the convergence of ionospheric constrained precise point positioning (IC-PPP) based on undifferential uncombined raw GNSS observations.

    Hongping Zhang;Zhouzheng Gao;Maorong Ge;Xiaoji Niu

Frequent Co-Authors

Naser El-Sheimy
Naser El-Sheimy University of Calgary
Chuang Shi
Chuang Shi Wuhan University
Maorong Ge
Maorong Ge Technical University of Berlin
Ruizhi Chen
Ruizhi Chen Wuhan University
Harald Schuh
Harald Schuh Technical University of Berlin
Jens Wickert
Jens Wickert Technical University of Berlin
Qile Zhao
Qile Zhao Wuhan University
Juha Hyyppä
Juha Hyyppä Finnish Geospatial Research Institute
Fadhel M. Ghannouchi
Fadhel M. Ghannouchi University of Calgary
John Thompson
John Thompson University of Edinburgh

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