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Found 4 papers, 1 papers with code
Taming Contrast Maximization for Learning Sequential, Low-latency, Event-based Optical Flow
Event cameras have recently gained significant traction since they open up new avenues for low-latency and low-power solutions to complex computer vision problems.
Evolution of Robust High Speed Optical-Flow-Based Landing for Autonomous MAVs
Automatic optimization of robotic behavior has been the long-standing goal of Evolutionary Robotics.
Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception
Convolutional layers with input synapses characterized by single and multiple transmission delays are employed for feature and local motion perception, respectively; while global motion selectivity emerges in a final fully-connected layer.
Vertical Landing for Micro Air Vehicles using Event-Based Optical Flow
In addition, a method for estimating the divergence from event-based optical flow is introduced, which accounts for the aperture problem.
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