14 citations · 17 across the 9 of their papers we have counts for
9 papers
The EventCV Library for Event-Based Robotic Vision
Adam D. Hines, Michael Milford, Tobias Fischer
Event cameras detect per-pixel brightness changes asynchronously on microsecond timescales, with high dynamic range and low power draw. These are desirable properties for robots th…
Multi-viewpoint Geo-localization with Event Cameras
Adam D. Hines, Michael Milford, Tobias Fischer
Robot localization is an ongoing challenge that demands mapping and positioning systems that are tolerant to viewpoint change. Event cameras are attracting increasing interest and…
EventGeM: Global-to-Local Feature Matching for Event-Based Visual Place Recognition
Adam D. Hines, Gokul B. Nair, Nicolás Marticorena +2
Event cameras are rapidly rising in popularity for robotic and computer vision tasks because their sparse activation delivers energy-efficient, high-dynamic-range, and fast sensing…
A neuromorphic model of the insect visual system for natural image processing
Adam D. Hines, Karin Nordström, Andrew B. Barron
Insect vision supports complex behaviors including associative learning, navigation, and object detection, and has long motivated computational models for understanding biological…
Pixi: Unified Software Development and Distribution for Robotics and AI
Tobias Fischer, Wolf Vollprecht, Bas Zalmstra +8
The reproducibility crisis in scientific computing constrains robotics research. Existing studies reveal that up to 70% of robotics algorithms cannot be reproduced by independent t…
Event-LAB: Towards Standardized Evaluation of Neuromorphic Localization Methods
Adam D. Hines, Alejandro Fontan, Michael Milford +1
Event-based localization research and datasets are a rapidly growing area of interest, with a tenfold increase in the cumulative total number of published papers on this topic over…
Threshold Adaptation in Spiking Networks Enables Shortest Path Finding and Place Disambiguation
Robin Dietrich, Tobias Fischer, Nicolai Waniek +4
Efficient spatial navigation is a hallmark of the mammalian brain, inspiring the development of neuromorphic systems that mimic biological principles. Despite progress, implementin…
A compact neuromorphic system for ultra-energy-efficient, on-device robot localization
Adam D. Hines, Michael Milford, Tobias Fischer
Neuromorphic computing offers a transformative pathway to overcome the computational and energy challenges faced in deploying robotic localization and navigation systems at the edg…
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…