Motion perception based on ON/OFF channels: A survey

Q Fu - Neural Networks, 2023 - Elsevier
Motion perception is an essential ability for animals and artificially intelligent systems
interacting effectively, safely with surrounding objects and environments. Biological visual …

[HTML][HTML] An insect-inspired model facilitating autonomous navigation by incorporating goal approaching and collision avoidance

X Sun, Q Fu, J Peng, S Yue - Neural Networks, 2023 - Elsevier
Being one of the most fundamental and crucial capacity of robots and animals, autonomous
navigation that consists of goal approaching and collision avoidance enables completion of …

[HTML][HTML] A look into feedback neural computation upon collision selectivity

Z Chang, Q Fu, H Chen, H Li, J Peng - Neural Networks, 2023 - Elsevier
Physiological studies have shown that a group of locust's lobula giant movement detectors
(LGMDs) has a diversity of collision selectivity to approaching objects, relatively darker or …

Feedback neural computation in collision perception: Towards diverse selectivity

Z Chang, Q Fu, M Hua, J Peng - Neurocomputing, 2024 - Elsevier
Significant strides have been achieved in the biological exploration of the locust's lobula
giant movement detector (LGMD), contributing substantially to the development of collision …

Enhancing LGMD-based model for collision prediction via binocular structure

Y Zheng, Y Wang, G Wu, H Li, J Peng - Frontiers in Neuroscience, 2023 - frontiersin.org
Introduction Lobular giant motion detector (LGMD) neurons, renowned for their distinctive
response to looming stimuli, inspire the development of visual neural network models for …

Boosting collision perception against noisy signals with a probabilistic neural network

J Hong, Q Fu, X Sun, H Li, J Peng - 2023 International Joint …, 2023 - ieeexplore.ieee.org
Accurate perception of collision acts as the basis of artificial vision systems for autonomous
collision detection and avoidance. The lobula giant motion detector (LGMD) in the locust's …

On the ensemble of collision perception neuron models towards ultra-selectivity

J Li, X Sun, H Li, J Peng, Q Fu - 2023 International Joint …, 2023 - ieeexplore.ieee.org
This paper investigates the coordination of multiple looming sensitive neuronal models to
get closer to the ultra-selectivity represented by organisms, ie, responding to merely …

Dynamic signal suppression increases the fidelity of looming perception against input variability

Z Li, Q Fu, H Li, S Yue, J Peng - 2022 International Joint …, 2022 - ieeexplore.ieee.org
The perception of looming objects moving in depth is a basis of artificially dynamic vision
system, which has been widely used in robots for autonomous obstacle detection-and …

Simulation of street landscape design based on machine learning and entertainment design robots: An interactive entertainment design experience

W Lin - Entertainment Computing, 2025 - Elsevier
Traditional design methods usually present design ideas through plans and models, but this
method can not truly simulate the design effect. Therefore, this research aims to use …

[PDF][PDF] Sensibilidad visual de neuronas gigantes al tamaño de objetos en movimiento y su relación con el comportamiento de escape en el cangrejo Neohelice …

EM Lanza - PhD thesis, 2022 - bibliotecadigital.exactas.uba.ar
La visión de movimiento provee claves esenciales para una gran variedad de
comportamientos. En particular, la detección de movimiento permite obtener información …