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20232026
most citedApplications of Spiking Neural Networks in Visual Place Recognition

17 citations · 44 across the 28 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CV2024

Look Ma, No Ground Truth! Ground-Truth-Free Tuning of Structure from Motion and Visual SLAM

Alejandro Fontan, Javier Civera, Tobias Fischer +1

Evaluation is critical to both developing and tuning Structure from Motion (SfM) and Visual SLAM (VSLAM) systems, but is universally reliant on high-quality geometric ground truth…

cs.CV2024

Exploring Emerging Trends and Research Opportunities in Visual Place Recognition

Antonios Gasteratos, Konstantinos A. Tsintotas, Tobias Fischer +2

Visual-based recognition, e.g., image classification, object detection, etc., is a long-standing challenge in computer vision and robotics communities. Concerning the roboticists,…

cs.RO2024

Matched Filtering based LiDAR Place Recognition for Urban and Natural Environments

Therese Joseph, Tobias Fischer, Michael Milford

Place recognition is an important task within autonomous navigation, involving the re-identification of previously visited locations from an initial traverse. Unlike visual place r…

cs.RO2024

ROS2WASM: Bringing the Robot Operating System to the Web

Tobias Fischer, Isabel Paredes, Michael Batchelor +6

The Robot Operating System (ROS) has become the de facto standard middleware in robotics, widely adopted across domains ranging from education to industrial applications. The RoboS…

cs.RO2024★ 14 cited

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…

cs.CV2024

FUSELOC: Fusing Global and Local Descriptors to Disambiguate 2D-3D Matching in Visual Localization

Son Tung Nguyen, Alejandro Fontan, Michael Milford +1

Hierarchical visual localization methods achieve state-of-the-art accuracy but require substantial memory as they need to store all database images. Direct 2D-3D matching requires…

cs.RO2024

Enhancing Visual Place Recognition via Fast and Slow Adaptive Biasing in Event Cameras

Gokul B. Nair, Michael Milford, Tobias Fischer

Event cameras are increasingly popular in robotics due to beneficial features such as low latency, energy efficiency, and high dynamic range. Nevertheless, their downstream task pe…