Leaderboards/Inertial Sensor and Navigation

Inertial Sensor and Navigation

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Shikang Lian
Guangdong University of Technology
2
Minh Long Hoang
University of Parma
3
Jiageng Liu
Shenyang Ligong University
4
Nabil Shaukat
University of Leeds
5
Chenyu Xue
University of Nottingham
6
Marco Caruso
Foro Italico University of Rome
7
Somnath Mahato
India Meteorological Department
8
Yuanyuan Wang
Nanjing University of Aeronautics and Astronautics
9
Daniel Janos
AGH University of Krakow
10
Lianxiao Meng
Harbin Engineering University

Rising Stars Papers

1
Sentiment Analysis of Product Reviews Using Machine Learning and Pre-Trained LLM
Big Data and Cognitive Computing|2024
52 cit.
2
Multipath Inflation Factor for Robust GNSS/IMU/VO Fusion-Based Navigation in Urban Areas
IEEE Internet of Things Journal|2025
22 cit.
3
RTK position solution performance of compact, low-cost GNSS receiver-antenna combinations
Survey Review|2024
19 cit.
4
Artificial Intelligence Implementation in Internet of Things Embedded System for Real-Time Person Presence in Bed Detection and Sleep Behaviour Monitor
Electronics|2024
13 cit.
5
Comparison of Machine Learning Algorithms for Heartbeat Detection Based on Accelerometric Signals Produced by a Smart Bed
Sensors|2024
12 cit.
6
Adaptive Fault-Tolerant Control for Quadrotor Based on the Second-Order Fast Nonsingular Terminal Sliding Mode Control
IEEE Transactions on Industrial Electronics|2025
12 cit.
7
5G/GNSS Integrated Vehicle Localization With Adaptive Step Size Kalman Filter
IEEE Transactions on Vehicular Technology|2024
10 cit.
8
Unlocking robotic perception: comparison of deep learning methods for simultaneous localization and mapping and visual simultaneous localization and mapping in robot
International Journal of Intelligent Robotics and Applications|2025
8 cit.
9
NavIC Galileo Long Distance RTK Positioning Performance
Unknown Journal|2024
8 cit.
10
Metrological evaluation of contactless sleep position recognition using an accelerometric smart bed and machine learning
Sensors and Actuators A Physical|2025
7 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Thomas Seel
Leibniz University Hannover
2
Xinhe Zhu
RMIT University
3
Jorge Llop Sayson
California Institute of Technology
4
Ahmed A. Youssef
University of Wasit
5
Jinwu Tong
Jiangsu Industry Technology Research Institute
6
Yangyin Xu
China University of Geosciences (Beijing)
7
Xiang Xu
Southeast University
8
Xuebo Jin
Beijing Technology and Business University
9
Chao Zhao
Harbin Institute of Technology
10
Yanqiang Yang
Beihang University

Emerging Leaders Papers

1
State of art on state estimation: Kalman filter driven by machine learning
Annual Reviews in Control|2023
132 cit.
2
PFVAE: A Planar Flow-Based Variational Auto-Encoder Prediction Model for Time Series Data
Mathematics|2022
124 cit.
3
A Reversible Automatic Selection Normalization (RASN) Deep Network for Predicting in the Smart Agriculture System
Agronomy|2022
103 cit.
4
Deep Spatio-Temporal Graph Network with Self-Optimization for Air Quality Prediction
Entropy|2023
90 cit.
5
A Variational Bayesian Deep Network with Data Self-Screening Layer for Massive Time-Series Data Forecasting
Entropy|2022
82 cit.
6
Doppler Measurements From Multiconstellations in Opportunistic Navigation
IEEE Transactions on Instrumentation and Measurement|2022
68 cit.
7
Role of constituent intermetallic phases and precipitates in initiation and propagation of intergranular corrosion of an Al-Li-Cu-Mg alloy
Corrosion Science|2022
63 cit.
8
Analysis of Baseline Impact on Differential Doppler Positioning and Performance Improvement Method for LEO Opportunistic Navigation
IEEE Transactions on Instrumentation and Measurement|2023
63 cit.
9
Variational Bayesian Network with Information Interpretability Filtering for Air Quality Forecasting
Mathematics|2023
62 cit.
10
VQF: Highly accurate IMU orientation estimation with bias estimation and magnetic disturbance rejection
Information Fusion|2022
59 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Jeffrey Uhlmann
University of Missouri
2
Hugh Durrant‐Whyte
Spectrum Research (United States)
3
Vesselin P. Jilkov
University of New Orleans
4
Naser El‐Sheimy
University of Calgary
5
Petrus H. Veltink
University of Twente
6
Xiaoji Niu
Wuhan University
7
Roland Siegwart
ETH Zurich
8
Ravi Vaidyanathan
Imperial College London
9
Yaakov Bar‐Shalom
University of Connecticut
10
Chan Gook Park
Seoul National University

Current Senior Leaders Papers

1
Unscented Filtering and Nonlinear Estimation
Proceedings of the IEEE|2004
6.5k cit.
2
New extension of the Kalman filter to nonlinear systems
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE|1997
5.3k cit.
3
Simultaneous localization and mapping: part I
IEEE Robotics & Automation Magazine|2006
4.1k cit.
4
A new method for the nonlinear transformation of means and covariances in filters and estimators
IEEE Transactions on Automatic Control|2000
3.7k cit.
5
BRISK: Binary Robust invariant scalable keypoints
Unknown Journal|2011
3.4k cit.
6
<i>Tracking and Data Association</i>
The Journal of the Acoustical Society of America|1990
3.1k cit.
7
Simultaneous localization and mapping (SLAM): part II
IEEE Robotics & Automation Magazine|2006
2.5k cit.
8
The interacting multiple model algorithm for systems with Markovian switching coefficients
IEEE Transactions on Automatic Control|1988
2.4k cit.
9
Survey of maneuvering targettracking . part I: dynamic models
IEEE Transactions on Aerospace and Electronic Systems|2003
2.3k cit.
10
Estimation with Applications to Tracking and Navigation: Theory, Algorithms, and Software
Unknown Journal|2001
2.2k cit.

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