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D-Index & Metrics

Computer Science

D-Index
40
Citations
6224
World Ranking
9352
National Ranking
3968

Overview

Guoquan Huang is affiliated with the University of Delaware in the United States. Their research activity spans primary fields of Engineering and Computer Science, with a significant number of publications contributing to these areas.

Their work extensively covers several subfields, particularly Aerospace Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Geology, and Control and Systems Engineering. This multidisciplinary approach supports research that bridges theoretical and applied aspects of robotics and navigation.

Main topics addressed in their publications include Robotics and Sensor-Based Localization, Advanced Vision and Imaging, Indoor and Outdoor Localization Technologies, 3D Surveying and Cultural Heritage, Inertial Sensor and Navigation, Advanced Image and Video Retrieval Techniques, and Image and Object Detection Techniques. These topics highlight a focus on autonomous navigation systems and sensing technologies.

Guoquan Huang has been published frequently in prominent venues such as arXiv (Cornell University), IEEE Transactions on Robotics, the 2022 International Conference on Robotics and Automation (ICRA), IEEE Robotics and Automation Letters, and the Journal of Field Robotics. These outlets underline engagement with both foundational and applied robotics research communities.

Selected recent papers include:

  • "MIMC-VINS: A Versatile and Resilient Multi-IMU Multi-Camera Visual-Inertial Navigation System" (2021), IEEE Transactions on Robotics
  • "Observability-Aware Intrinsic and Extrinsic Calibration of LiDAR-IMU Systems" (2022), IEEE Transactions on Robotics
  • "Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "EDPLVO: Efficient Direct Point-Line Visual Odometry" (2022), 2022 International Conference on Robotics and Automation (ICRA)
  • "Decoupled Right Invariant Error States for Consistent Visual-Inertial Navigation" (2022), IEEE Robotics and Automation Letters

Frequent collaborators of Guoquan Huang include Patrick Geneva, Xingxing Zuo, Yulin Yang, Yong Liu, and Woosik Lee. This network illustrates a consistent engagement with researchers specializing in related robotics and navigation fields, supporting collaborative advancements.

Best Publications

  • OpenVINS: A Research Platform for Visual-Inertial Estimation

    Patrick Geneva;Kevin Eckenhoff;Woosik Lee;Yulin Yang

  • Visual-Inertial Navigation: A Concise Review

    Guoquan Huang

  • Observability-based Rules for Designing Consistent EKF SLAM Estimators

    Guoquan P. Huang;Anastasios I. Mourikis;Stergios I. Roumeliotis

  • Analysis and improvement of the consistency of extended Kalman filter based SLAM

    G.P. Huang;A.I. Mourikis;S.I. Roumeliotis

  • LIPS: LiDAR-Inertial 3D Plane SLAM

    Patrick Geneva;Kevin Eckenhoff;Yulin Yang;Guoquan Huang

  • Robocentric visual–inertial odometry:

    Zheng Huai;Guoquan Huang

  • LIC-Fusion: LiDAR-Inertial-Camera Odometry

    Xingxing Zuo;Patrick Geneva;Woosik Lee;Yong Liu

  • Robust visual SLAM with point and line features

    Xingxing Zuo;Xiaojia Xie;Yong Liu;Guoquan Huang

  • Lightweight Unsupervised Deep Loop Closure

    Nathaniel Merrill;Guoquan Huang

  • LIC-Fusion 2.0: LiDAR-Inertial-Camera Odometry with Sliding-Window Plane-Feature Tracking

    Xingxing Zuo;Yulin Yang;Patrick Geneva;Jiajun Lv

  • A First-Estimates Jacobian EKF for Improving SLAM Consistency

    Guoquan P. Huang;Anastasios I. Mourikis;Anastasios I. Mourikis;Stergios I. Roumeliotis

  • Observability-based consistent EKF estimators for multi-robot cooperative localization

    Guoquan P. Huang;Nikolas Trawny;Anastasios I. Mourikis;Stergios I. Roumeliotis

  • Communication-constrained multi-AUV cooperative SLAM

    Liam Paull;Guoquan Huang;Mae Seto;John J. Leonard

  • A Quadratic-Complexity Observability-Constrained Unscented Kalman Filter for SLAM

    Guoquan P. Huang;Anastasios I. Mourikis;Stergios I. Roumeliotis

  • Towards consistent visual-inertial navigation

    Guoquan Huang;Michael Kaess;John J. Leonard

  • Robocentric Visual-Inertial Odometry

    Zheng Huai;Guoquan Huang

  • Consistent sparsification for graph optimization

    Guoquan Huang;Michael Kaess;John J. Leonard

  • Observability-Aware Intrinsic and Extrinsic Calibration of LiDAR-IMU Systems

    Unknown

  • On the complexity and consistency of UKF-based SLAM

    Guoquan P. Huang;Anastasios I. Mourikis;Stergios I. Roumeliotis

  • MIMC-VINS: A Versatile and Resilient Multi-IMU Multi-Camera Visual-Inertial Navigation System

    Kevin Eckenhoff;Patrick Geneva;Guoquan Huang

  • An observability-constrained sliding window filter for SLAM

    Guoquan P. Huang;Anastasios I. Mourikis;Stergios I. Roumeliotis

  • Closed-form preintegration methods for graph-based visual–inertial navigation:

    Kevin Eckenhoff;Patrick Geneva;Guoquan Huang

  • Degenerate Motion Analysis for Aided INS With Online Spatial and Temporal Sensor Calibration

    Yulin Yang;Patrick Geneva;Kevin Eckenhoff;Guoquan Huang

Frequent Co-Authors

Stergios I. Roumeliotis
Stergios I. Roumeliotis University of Minnesota
Anastasios I. Mourikis
Anastasios I. Mourikis University of California, Riverside
Michael Kaess
Michael Kaess Carnegie Mellon University
Marc Pollefeys
Marc Pollefeys ETH Zurich
José Neira
José Neira University of Zaragoza
Wei Ren
Wei Ren University of California, Riverside
Hua Wang
Hua Wang Victoria University

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