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Found 6 papers, 0 papers with code
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.
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.
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.
Enhancing LGMD's Looming Selectivity for UAV with Spatial-temporal Distributed Presynaptic Connections
The results have demonstrated that this new model enhances the looming selectivity in complex flying scenes considerably, and has potential to be implemented on embedded collision detection systems for small or micro UAVs.
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.
OppLoD: the Opponency based Looming Detector, Model Extension of Looming Sensitivity from LGMD to LPLC2
As a vital capability evolutionary survival, it has been extensively studied in neuroscience and is attracting increasing research interest in robotics due to its close relationship with collision detection and navigation.
