Qinbing Fu

Orcid: 0000-0002-5726-6956

Affiliations:
  • University of Lincoln, UK


According to our database1, Qinbing Fu authored at least 47 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A computationally efficient and robust looming perception model based on dynamic neural field.
Neural Networks, 2024

Improving the Performance of an Insect-Inspired Navigation Model Using Directional Selective Collision Detection.
Proceedings of the International Joint Conference on Neural Networks, 2024

A Bio-Inspired and Solely Vision-Based Model for Autonomous Navigation.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
A look into feedback neural computation upon collision selectivity.
Neural Networks, September, 2023

An insect-inspired model facilitating autonomous navigation by incorporating goal approaching and collision avoidance.
Neural Networks, August, 2023

Motion perception based on ON/OFF channels: A survey.
Neural Networks, August, 2023

Harmonizing motion and contrast vision for robust looming detection.
Array, March, 2023

On the Ensemble of Collision Perception Neuron Models Towards Ultra-Selectivity.
Proceedings of the International Joint Conference on Neural Networks, 2023

Boosting Collision Perception Against Noisy Signals with a Probabilistic Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Accelerating Motion Perception Model Mimics the Visual Neuronal Ensemble of Crab.
Proceedings of the International Joint Conference on Neural Networks, 2022

Dynamic Signal Suppression Increases the Fidelity of Looming Perception Against Input Variability.
Proceedings of the International Joint Conference on Neural Networks, 2022

Shaping the Ultra-Selectivity of a Looming Detection Neural Network from Non-linear Correlation of Radial Motion.
Proceedings of the International Joint Conference on Neural Networks, 2022

Efficient Bio-Robotic Estimation of Visual Dynamic Complexity.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

2021
A bioinspired angular velocity decoding neural network model for visually guided flights.
Neural Networks, 2021

Generative design and fabrication of a locust-inspired gliding wing prototype for micro aerial robots.
J. Comput. Des. Eng., 2021

Robustness of Bio-Inspired Visual Systems for Collision Prediction in Critical Robot Traffic.
Frontiers Robotics AI, 2021

Profiling Visual Dynamic Complexity Using a Bio-Robotic Approach.
CoRR, 2021

A Multiple Pheromone Communication System for Swarm Intelligence.
IEEE Access, 2021

Investigating Refractoriness in Collision Perception Neuronal Model.
Proceedings of the International Joint Conference on Neural Networks, 2021

Bioinspired Contrast Vision Computation for Robust Motion Estimation Against Natural Signals.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Versatile Vision-Pheromone-Communication Platform for Swarm Robotics.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
A Robust Collision Perception Visual Neural Network With Specific Selectivity to Darker Objects.
IEEE Trans. Cybern., 2020

Modelling Drosophila motion vision pathways for decoding the direction of translating objects against cluttered moving backgrounds.
Biol. Cybern., 2020

Improved Collision Perception Neuronal System Model With Adaptive Inhibition Mechanism and Evolutionary Learning.
IEEE Access, 2020

Complementary Visual Neuronal Systems Model for Collision Sensing.
Proceedings of the 5th International Conference on Advanced Robotics and Mechatronics, 2020

Investigating Multiple Pheromones in Swarm Robots - A Case Study of Multi-Robot Deployment.
Proceedings of the 5th International Conference on Advanced Robotics and Mechatronics, 2020

2019
Towards a dynamic vision system: computational modelling of insect motion sensitive neural systems.
PhD thesis, 2019

Synthetic Neural Vision System Design for Motion Pattern Recognition in Dynamic Robot Scenes.
CoRR, 2019

Towards Computational Models and Applications of Insect Visual Systems for Motion Perception: A Review.
Artif. Life, 2019

Visual Cue Integration for Small Target Motion Detection in Natural Cluttered Backgrounds.
Proceedings of the International Joint Conference on Neural Networks, 2019

Angular Velocity Estimation of Image Motion Mimicking the Honeybee Tunnel Centring Behaviour.
Proceedings of the International Joint Conference on Neural Networks, 2019

An LGMD Based Competitive Collision Avoidance Strategy for UAV.
Proceedings of the Artificial Intelligence Applications and Innovations, 2019

Constant Angular Velocity Regulation for Visually Guided Terrain Following.
Proceedings of the Artificial Intelligence Applications and Innovations, 2019

A Visual Neural Network for Robust Collision Perception in Vehicle Driving Scenarios.
Proceedings of the Artificial Intelligence Applications and Innovations, 2019

ColCOS Φ: A Multiple Pheromone Communication System for Swarm Robotics and Social Insects Research.
Proceedings of the 4th IEEE International Conference on Advanced Robotics and Mechatronics, 2019

2018
Shaping the collision selectivity in a looming sensitive neuron model with parallel ON and OFF pathways and spike frequency adaptation.
Neural Networks, 2018

A Directionally Selective Neural Network with Separated ON and OFF Pathways for Translational Motion Perception in a Visually Cluttered Environment.
CoRR, 2018

Collision Selective Visual Neural Network Inspired by LGMD2 Neurons in Juvenile Locusts.
CoRR, 2018

Colias IV: The Affordable Micro Robot Platform with Bio-inspired Vision.
Proceedings of the Towards Autonomous Robotic Systems - 19th Annual Conference, 2018

A Hybrid Visual-Model Based Robot Control Strategy for Micro Ground Robots.
Proceedings of the From Animals to Animats 15, 2018

Performance of a Visual Fixation Model in an Autonomous Micro Robot Inspired by Drosophila Physiology.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

Energy-Efficient Design and Control of a Vibro-Driven Robot.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017
Mimicking fly motion tracking and fixation behaviors with a hybrid visual neural network.
Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017

Collision selective LGMDs neuron models research benefits from a vision-based autonomous micro robot.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Modeling direction selective visual neural network with ON and OFF pathways for extracting motion cues from cluttered background.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Bio-inspired Collision Detector with Enhanced Selectivity for Ground Robotic Vision System.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
Modelling LGMD2 visual neuron system.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015


  Loading...