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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 …
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
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 …
navigation that consists of goal approaching and collision avoidance enables completion of …
[HTML][HTML] A look into feedback neural computation upon collision selectivity
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 …
(LGMDs) has a diversity of collision selectivity to approaching objects, relatively darker or …
Feedback neural computation in collision perception: Towards diverse selectivity
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 …
giant movement detector (LGMD), contributing substantially to the development of collision …
Enhancing LGMD-based model for collision prediction via binocular structure
Introduction Lobular giant motion detector (LGMD) neurons, renowned for their distinctive
response to looming stimuli, inspire the development of visual neural network models for …
response to looming stimuli, inspire the development of visual neural network models for …
Boosting collision perception against noisy signals with a probabilistic neural network
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 …
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
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 …
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
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 …
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 …
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 …
comportamientos. En particular, la detección de movimiento permite obtener información …