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Found 7 papers, 0 papers with code
Attention and Prediction Guided Motion Detection for Low-Contrast Small Moving Targets
The developed visual system comprises three main subsystems, namely, an attention module, an STMD-based neural network, and a prediction module.
A Time-Delay Feedback Neural Network for Discriminating Small, Fast-Moving Targets in Complex Dynamic Environments
Discriminating small moving objects within complex visual environments is a significant challenge for autonomous micro robots that are generally limited in computational power.
Synthetic Neural Vision System Design for Motion Pattern Recognition in Dynamic Robot Scenes
The presented system is a synthetic neural network, which comprises two complementary sub-systems with four spiking neurons -- the lobula giant movement detectors (LGMD1 and LGMD2) in locusts for sensing looming and recession, and the direction selective neurons (DSN-R and DSN-L) in flies for translational motion extraction.
An LGMD Based Competitive Collision Avoidance Strategy for UAV
In this paper, we present an LGMD based competitive collision avoidance method for UAV indoor navigation.
Towards Computational Models and Applications of Insect Visual Systems for Motion Perception: A Review
A good number of motion detectors have been identified in the insects' visual pathways.
A Bio-inspired Collision Detecotr for Small Quadcopter
The observed results from the experiments demonstrated that the LGMD collision detector is feasible to work as a vision module for the quadcopter's collision avoidance task.
Collision Selective Visual Neural Network Inspired by LGMD2 Neurons in Juvenile Locusts
The results demonstrated this framework is able to detect looming dark objects embedded in bright backgrounds selectively, which make it ideal for ground mobile platforms.
