World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
6335
World Ranking
10210
National Ranking
641

Overview

Dongbing Gu is affiliated with the University of Essex in the United Kingdom. Their research primarily spans the fields of Computer Science and Engineering, with notable work in subfields such as Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Artificial Intelligence, and Electrical and Electronic Engineering.

The scientist's research topics encompass a range of areas, including:

  • Robotics and Sensor-Based Localization
  • Advanced Vision and Imaging
  • Advanced Neural Network Applications
  • Robotic Path Planning Algorithms
  • Robot Manipulation and Learning
  • Advanced Image and Video Retrieval Techniques
  • Smart Agriculture and AI

Frequent co-authors in their work include Jie Wang, Hongmei Chen, Wen Ye, Dong Wang, and Yangyang Wang.

Dongbing Gu has published extensively in various venues. Among the most frequent publication venues are:

  • Cognitive Computation
  • SSRN Electronic Journal
  • IEEE Internet of Things Journal
  • 2022 27th International Conference on Automation and Computing (ICAC)
  • Sensors

Recent publications showcase the scope and diversity of their research interests. Selected works include:

  • DeepSLAM: A Robust Monocular SLAM System With Unsupervised Deep Learning (2020, IEEE Transactions on Industrial Electronics)
  • LRDNet: A lightweight and efficient network with refined dual attention decorder for real-time semantic segmentation (2021, Neurocomputing)
  • Robust AUV Visual Loop-Closure Detection Based on Variational Autoencoder Network (2022, IEEE Transactions on Industrial Informatics)
  • Distributed Optimal State Consensus for Multiple Circuit Systems With Disturbance Rejection (2020, IEEE Transactions on Network Science and Engineering)
  • Adaptive end-effector pose control for tomato harvesting robots (2022, Journal of Field Robotics)

Best Publications

  • UnDeepVO: Monocular Visual Odometry Through Unsupervised Deep Learning

    Ruihao Li;Sen Wang;Zhiqiang Long;Dongbing Gu

  • Receding horizon tracking control of wheeled mobile robots

    Dongbing Gu;Huosheng Hu

  • Neural predictive control for a car-like mobile robot

    Dongbing Gu;Huosheng Hu

  • A Differential Game Approach to Formation Control

    Dongbing Gu

  • Multiagent Reinforcement Learning for Multi-Robot Systems: A Survey

    Erfu Yang;Dongbing Gu

  • Cooperative Target Tracking Control of Multiple Robots

    Zongyao Wang;Dongbing Gu

  • Distributed EM Algorithm for Gaussian Mixtures in Sensor Networks

    Dongbing Gu

  • Leader–Follower Flocking: Algorithms and Experiments

    Dongbing Gu;Zongyao Wang

  • Multi-player pursuit-evasion games with one superior evader

    Jie Chen;Wenzhong Zha;Zhihong Peng;Dongbing Gu

  • Robust Team Formation Control for Quadrotors

    Wesam Jasim;Dongbing Gu

  • Distributed Particle Filter for Target Tracking

    Dongbing Gu

  • DeepSLAM: A Robust Monocular SLAM System With Unsupervised Deep Learning

    Ruihao Li;Sen Wang;Dongbing Gu

  • SGANVO: Unsupervised Deep Visual Odometry and Depth Estimation With Stacked Generative Adversarial Networks

    Tuo Feng;Dongbing Gu

  • A stabilizing receding horizon regulator for nonholonomic mobile robots

    Dongbing Gu;Huosheng Hu

  • A review of visual inertial odometry from filtering and optimisation perspectives

    Jianjun Gui;Dongbing Gu;Sen Wang;Huosheng Hu

  • A multiscale edge detection algorithm based on wavelet domain vector hidden Markov tree model

    Junxi Sun;Dongbing Gu;Yazhu Chen;Su Zhang

  • Using Fuzzy Logic to Design Separation Function in Flocking Algorithms

    Dongbing Gu;Huosheng Hu

  • Spatial Gaussian Process Regression With Mobile Sensor Networks

    Dongbing Gu;Huosheng Hu

  • Autonomous robots for harsh environments : a holistic overview of current solutions and ongoing challenges

    Cuebong Wong;Erfu Yang;Xiu-Tian Yan;Dongbing Gu

  • Inspection Robots in Oil and Gas Industry: a Review of Current Solutions and Future Trends

    Leijian Yu;Erfu Yang;Peng Ren;Cai Luo

  • Landmark‐based navigation of industrial mobile robots

    Huosheng Hu;Dongbing Gu

  • Consensus based distributed particle filter in sensor networks

    Dongbing Gu;Junxi Sun;Zhen Hu;Hongzuo Li

  • Localization in wireless sensor networks using a mobile anchor node

    Zhen Hu;Dongbing Gu;Zhengxun Song;Hongzuo Li

Frequent Co-Authors

Huosheng Hu
Huosheng Hu University of Essex
Yun Li
Yun Li University of Electronic Science and Technology of China
Jie Chen
Jie Chen Beijing Institute of Technology
Carlos Gershenson
Carlos Gershenson Binghamton University
Yongping Pan
Yongping Pan Sun Yat-sen University
Michael Brady
Michael Brady University of Oxford
Huiyu Zhou
Huiyu Zhou University of Leicester
Edward Tsang
Edward Tsang University of Essex
Guangming Xie
Guangming Xie Peking University
Minrui Fei
Minrui Fei Shanghai University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science opens doors to many online degree options and diverse career pathways. Many students choose flexible study routes, such as the fastest computer science degree programs, which help you earn your qualification more quickly and start your career sooner.

Your skills in computer science can also be applied to other disciplines. For instance, tech experts are in demand for solutions in environmental fields, with several jobs for environmental science majors now seeking graduates with coding and data analysis skills.

If you are interested in engineering, there are now environmental engineering degree online programs and online mechanical engineering degrees to consider. These interdisciplinary options blend computing, science, and engineering to expand your career possibilities.

With so many affordable and flexible online programs, you can find a path that fits your interests and schedule while preparing for a wide range of rewarding tech-focused careers.

Best Scientists Citing Dongbing Gu

Trending Scientists