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D-Index & Metrics

Computer Science

D-Index
36
Citations
4476
World Ranking
11379
National Ranking
1402

Overview

Ling Pei is affiliated with Shanghai Jiao Tong University in China and conducts research primarily in the fields of Engineering and Computer Science. Their scholarly output spans areas such as Computer Vision and Pattern Recognition, Aerospace Engineering, and Electrical and Electronic Engineering, reflecting a diverse engagement across multiple technical domains.

Their work addresses a variety of specialized subfields including Biomedical Engineering and Geology. Major topics frequently explored include Robotics and Sensor-Based Localization, Indoor and Outdoor Localization Technologies, and Human Pose and Action Recognition. Other focused research areas include GNSS positioning and interference, 3D Surveying and Cultural Heritage, Context-Aware Activity Recognition Systems, and Gait Recognition and Analysis.

Ling Pei has contributed extensively to scientific literature with publications appearing in key venues such as arXiv (Cornell University), IEEE Transactions on Instrumentation and Measurement, and the IEEE Sensors Journal. Additional publishing outlets include Satellite Navigation and IEEE Internet of Things Journal.

  • arXiv (Cornell University)
  • IEEE Transactions on Instrumentation and Measurement
  • IEEE Sensors Journal
  • Satellite Navigation
  • IEEE Internet of Things Journal

Prominent recent papers authored by Ling Pei include:

  • FINet: An Insulator Dataset and Detection Benchmark Based on Synthetic Fog and Improved YOLOv5, 2022, IEEE Transactions on Instrumentation and Measurement
  • P3-LOAM: PPP/LiDAR Loosely Coupled SLAM With Accurate Covariance Estimation and Robust RAIM in Urban Canyon Environment, 2020, IEEE Sensors Journal
  • CDNet: a real-time and robust crosswalk detection network on Jetson nano based on YOLOv5, 2022, Neural Computing and Applications
  • Attention-SLAM: A Visual Monocular SLAM Learning From Human Gaze, 2020, IEEE Sensors Journal
  • P3-VINS: Tightly-Coupled PPP/INS/Visual SLAM Based on Optimization Approach, 2022, IEEE Robotics and Automation Letters

Frequent co-authors who have collaborated with Ling Pei include Wenxian Yu, Songpengcheng Xia, Tao Li, Qi Wu, and Lei Chu.

Best Publications

  • StructSLAM: Visual SLAM With Building Structure Lines

    Huizhong Zhou;Danping Zou;Ling Pei;Rendong Ying

  • A Hybrid Smartphone Indoor Positioning Solution for Mobile LBS

    Jingbin Liu;Ruizhi Chen;Ling Pei;Robert Guinness

  • Human Behavior Cognition Using Smartphone Sensors

    Ling Pei;Robert Guinness;Ruizhi Chen;Jingbin Liu

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

    You Li;Yuan Zhuang;Xin Hu;Zhouzheng Gao

  • Using LS-SVM Based Motion Recognition for Smartphone Indoor Wireless Positioning

    Ling Pei;Jingbin Liu;Robert Guinness;Yuwei Chen

  • Bayesian Fusion for Indoor Positioning Using Bluetooth Fingerprints

    Liang Chen;Ling Pei;Heidi Kuusniemi;Yuwei Chen

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

    You Li;Yuan Zhuang;Xin Hu;Zhouzheng Gao

  • An improved indoor localization method using smartphone inertial sensors

    Jiuchao Qian;Jiabin Ma;Rendong Ying;Peilin Liu

  • StructVIO: Visual-Inertial Odometry With Structural Regularity of Man-Made Environments

    Danping Zou;Yuanxin Wu;Ling Pei;Haibin Ling

  • FINet: An Insulator Dataset and Detection Benchmark Based on Synthetic Fog and Improved YOLOv5

    Unknown

  • Inquiry-Based Bluetooth Indoor Positioning via RSSI Probability Distributions

    Ling Pei;Ruizhi Chen;Jingbin Liu;Tomi Tenhunen

  • Efficient and Robust Recovery of Sparse Signal and Image Using Generalized Nonconvex Regularization

    Fei Wen;Ling Pei;Yuan Yang;Wenxian Yu

  • The Accuracy Comparison of Three Simultaneous Localization and Mapping (SLAM)-Based Indoor Mapping Technologies.

    Yuwei Chen;Jian Tang;Jian Tang;Changhui Jiang;Changhui Jiang;Lingli Zhu

  • iParking: an intelligent indoor location-based smartphone parking service.

    Jingbin Liu;Ruizhi Chen;Yuwei Chen;Ling Pei

  • A Smart Phone Based PDR Solution for Indoor Navigation

    Ruizhi Chen;Ling Pei;Yuwei Chen

  • NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping

    Unknown

  • Indoor/Outdoor Seamless Positioning Technologies Integrated on Smart Phone

    Ling Pei;Ruizhi Chen;Yuewei Chen;Helena Leppäkoski

  • Vector graph assisted pedestrian dead reckoning using an unconstrained smartphone.

    Jiuchao Qian;Ling Pei;Jiabin Ma;Rendong Ying

  • A Survey of Crowd Sensing Opportunistic Signals for Indoor Localization

    Ling Pei;Min Zhang;Danping Zou;Ruizhi Chen

  • P 3 -LOAM: PPP/LiDAR Loosely Coupled SLAM With Accurate Covariance Estimation and Robust RAIM in Urban Canyon Environment

    Tao Li;Ling Pei;Yan Xiang;Qi Wu

  • Accelerometer assisted robust wireless signal positioning based on a hidden Markov model

    Jingbin Liu;Ruizhi Chen;Ling Pei;Wei Chen

  • Multidimensional Scaling-Based TDOA Localization Scheme Using an Auxiliary Line

    Wuyang Jiang;Changqing Xu;Ling Pei;Wenxian Yu

  • Optimal Heading Estimation Based Multidimensional Particle Filter for Pedestrian Indoor Positioning

    Ling Pei;Donghui Liu;Danping Zou;Ronald Lee Fook Choy

Frequent Co-Authors

Ruizhi Chen
Ruizhi Chen Wuhan University
Robert C. Qiu
Robert C. Qiu Shanghai Jiao Tong University
Tao Li
Tao Li Florida International University
Juha Hyyppä
Juha Hyyppä Finnish Geospatial Research Institute
Hannu Hyyppä
Hannu Hyyppä Aalto University
Harri Kaartinen
Harri Kaartinen University of Turku
Naser El-Sheimy
Naser El-Sheimy University of Calgary
Hui Zhou
Hui Zhou Huazhong University of Science and Technology
Antero Kukko
Antero Kukko Aalto University
John Thompson
John Thompson University of Edinburgh

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