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] Finding the gap: neuromorphic motion-vision in dense environments
Animals have evolved mechanisms to travel safely and efficiently within different habitats.
On a journey in dense terrains animals avoid collisions and cross narrow passages while …
On a journey in dense terrains animals avoid collisions and cross narrow passages while …
Insect-inspired, spike-based, in-sensor, and night-time collision detector based on atomically thin and light-sensitive memtransistors
Detecting a potential collision at night is a challenging task owing to the lack of discernible
features that can be extracted from the available visual stimuli. To alert the driver or …
features that can be extracted from the available visual stimuli. To alert the driver or …
A robust collision perception visual neural network with specific selectivity to darker objects
Building an efficient and reliable collision perception visual system is a challenging problem
for future robots and autonomous vehicles. The biological visual neural networks, which …
for future robots and autonomous vehicles. The biological visual neural networks, which …
Integrated moment-based LGMD and deep reinforcement learning for UAV obstacle avoidance
In this paper, a bio-inspired monocular vision perception method combined with a learning-
based reaction local planner for obstacle avoidance of micro UAVs is presented. The system …
based reaction local planner for obstacle avoidance of micro UAVs is presented. The system …
[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] Modelling Drosophila motion vision pathways for decoding the direction of translating objects against cluttered moving backgrounds
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 …
accurately and efficiently, is still a challenging problem. In nature, lightweight and low …
Improved collision perception neuronal system model with adaptive inhibition mechanism and evolutionary learning
Accurate and timely perception of collision in highly variable environments is still a
challenging problem for artificial visual systems. As a source of inspiration, the lobula giant …
challenging problem for artificial visual systems. As a source of inspiration, the lobula giant …
[HTML][HTML] A Looming Spatial Localization Neural Network Inspired by MLG1 Neurons in the Crab Neohelice
Similar to most visual animals, the crab Neohelice granulata relies predominantly on visual
information to escape from predators, to track prey and for selecting mates. It, therefore …
information to escape from predators, to track prey and for selecting mates. It, therefore …
A novel motion direction detection mechanism based on dendritic computation of direction-selective ganglion cells
The visual system plays a vital role when the brain receives and processes information.
Approximately ninety percent of the information received by the brain comes from the visual …
Approximately ninety percent of the information received by the brain comes from the visual …