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Found 7 papers, 0 papers with code
Memory Efficient Corner Detection for Event-driven Dynamic Vision Sensors
In this paper, we propose a new event-driven corner detection implementation tailored for edge computing devices, which requires much lower memory access than luvHarris while also improving accuracy.
Fast Trajectory End-Point Prediction with Event Cameras for Reactive Robot Control
Prediction skills can be crucial for the success of tasks where robots have limited time to act or joints actuation power.
PUCK: Parallel Surface and Convolution-kernel Tracking for Event-Based Cameras
Low latency and accuracy are fundamental requirements when vision is integrated in robots for high-speed interaction with targets, since they affect system reliability and stability.
LuvHarris: A Practical Corner Detector for Event-cameras
There have been a number of corner detection methods proposed for event cameras in the last years, since event-driven computer vision has become more accessible.
Exploiting Event Cameras for Spatio-Temporal Prediction of Fast-Changing Trajectories
This paper investigates trajectory prediction for robotics, to improve the interaction of robots with moving targets, such as catching a bouncing ball.
ATIS + SpiNNaker: a Fully Event-based Visual Tracking Demonstration
The Asynchronous Time-based Image Sensor (ATIS) and the Spiking Neural Network Architecture (SpiNNaker) are both neuromorphic technologies that "unconventionally" use binary spikes to represent information.
Independent Motion Detection with Event-driven Cameras
In this paper, we propose a method for segmenting the motion of an independently moving object for event-driven cameras.
