4 citations · 6 across the 3 of their papers we have counts for
3 papers
VPRTempo: A Fast Temporally Encoded Spiking Neural Network for Visual Place Recognition
Adam D. Hines, Peter G. Stratton, Michael Milford +1
Spiking Neural Networks (SNNs) are at the forefront of neuromorphic computing thanks to their potential energy-efficiency, low latencies, and capacity for continual learning. While…
Volume-DROID: A Real-Time Implementation of Volumetric Mapping with DROID-SLAM
Peter Stratton, Sandilya Sai Garimella, Ashwin Saxena +2
This paper presents Volume-DROID, a novel approach for Simultaneous Localization and Mapping (SLAM) that integrates Volumetric Mapping and Differentiable Recurrent Optimization-Ins…
Making a Spiking Net Work: Robust brain-like unsupervised machine learning
Peter G. Stratton, Andrew Wabnitz, Chip Essam +2
The surge in interest in Artificial Intelligence (AI) over the past decade has been driven almost exclusively by advances in Artificial Neural Networks (ANNs). While ANNs set state…