29 citations · 35 across the 17 of their papers we have counts for
17 papers
An Event-Driven Framework for Fly-Inspired Visual Motion Detection
Qinbing Fu, Jingyu Huang, Yan Xie +2
Fast and reliable motion detection is essential for machine vision and autonomous systems operating in dynamic environments. This work integrates emerging event-based sensing with…
Dynamic Neural Field Modeling of Visual Contrast for Perceiving Incoherent Looming
Ziyan Qin, Qinbing Fu, Jigen Peng +1
Amari's Dynamic Neural Field (DNF) framework provides a brain-inspired approach to modeling the average activation of neuronal groups. Leveraging a single field, DNF has become a p…
Attention-Driven LPLC2 Neural Ensemble Model for Multi-Target Looming Detection and Localization
Renyuan Liu, Qinbing Fu
Lobula plate/lobula columnar, type 2 (LPLC2) visual projection neurons in the fly's visual system possess highly looming-selective properties, making them ideal for developing arti…
A Bio-Inspired Research Paradigm of Collision Perception Neurons Enabling Neuro-Robotic Integration: The LGMD Case
Ziyan Qin, Jigen Peng, Shigang Yue +1
Compared to human vision, locust visual systems excel at rapid and precise collision detection, despite relying on only hundreds of thousands of neurons organized through a few neu…
Profiling Visual Dynamic Complexity Using a Bio-Robotic Approach
Qinbing Fu, Tian Liu, Xuelong Sun +4
Visual dynamic complexity is a ubiquitous, hidden attribute of the visual world that every dynamic vision system is faced with. However, it is implicit and intractable which has ne…
Modelling Drosophila Motion Vision Pathways for Decoding the Direction of Translating Objects Against Cluttered Moving Backgrounds
Qinbing Fu, Shigang Yue
Decoding the direction of translating objects in front of cluttered moving backgrounds, accurately and efficiently, is still a challenging problem. In nature, lightweight and low-p…
Complementary Visual Neuronal Systems Model for Collision Sensing
Qinbing Fu, Shigang Yue
Inspired by insects' visual brains, this paper presents original modelling of a complementary visual neuronal systems model for real-time and robust collision sensing. Two categori…
ColCOS: A Multiple Pheromone Communication System for Swarm Robotics and Social Insects Research
Xuelong Sun, Tian Liu, Cheng Hu +2
In the last few decades we have witnessed how the pheromone of social insect has become a rich inspiration source of swarm robotics. By utilising the virtual pheromone in physical…
An LGMD Based Competitive Collision Avoidance Strategy for UAV
Jiannan Zhao, Xingzao Ma, Qinbing Fu +2
Building a reliable and efficient collision avoidance system for unmanned aerial vehicles (UAVs) is still a challenging problem. This research takes inspiration from locusts, which…
Synthetic Neural Vision System Design for Motion Pattern Recognition in Dynamic Robot Scenes
Qinbing Fu, Cheng Hu, Pengcheng Liu +1
Insects have tiny brains but complicated visual systems for motion perception. A handful of insect visual neurons have been computationally modeled and successfully applied for rob…
Constant Angular Velocity Regulation for Visually Guided Terrain Following
Huatian Wang, Qinbing Fu, Hongxin Wang +2
Insects use visual cues to control their flight behaviours. By estimating the angular velocity of the visual stimuli and regulating it to a constant value, honeybees can perform a…
Angular Velocity Estimation of Image Motion Mimicking the Honeybee Tunnel Centring Behaviour
Huatian Wang, Qinbing Fu, Hongxin Wang +4
Insects use visual information to estimate angular velocity of retinal image motion, which determines a variety of flight behaviours including speed regulation, tunnel centring and…
A Visual Neural Network for Robust Collision Perception in Vehicle Driving Scenarios
Qinbing Fu, Nicola Bellotto, Huatian Wang +3
This research addresses the challenging problem of visual collision detection in very complex and dynamic real physical scenes, specifically, the vehicle driving scenarios. This re…
Towards Computational Models and Applications of Insect Visual Systems for Motion Perception: A Review
Qinbing Fu, Hongxin Wang, Cheng Hu +1
Motion perception is a critical capability determining a variety of aspects of insects' life, including avoiding predators, foraging and so forth. A good number of motion detectors…
Visual Cue Integration for Small Target Motion Detection in Natural Cluttered Backgrounds
Hongxin Wang, Jigen Peng, Qinbing Fu +2
The robust detection of small targets against cluttered background is important for future artificial visual systems in searching and tracking applications. The insects' visual sys…
A Directionally Selective Neural Network with Separated ON and OFF Pathways for Translational Motion Perception in a Visually Cluttered Environment
Qinbing Fu, Nicola Bellotto, Shigang Yue
With respect to biological findings underlying fly's physiology in the past decade, we present a directionally selective neural network, with a feed-forward structure and entirely…
Collision Selective Visual Neural Network Inspired by LGMD2 Neurons in Juvenile Locusts
Qinbing Fu, Cheng Hu, Shigang Yue
For autonomous robots in dynamic environments mixed with human, it is vital to detect impending collision quickly and robustly. The biological visual systems evolved over millions…