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Found 6 papers, 3 papers with code
VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition
Two parallel lines of work on VPR have shown, on one side, that general-purpose off-the-shelf feature representations can provide robustness to domain shifts, and, on the other, that fused information from sequences of images improves performance.
What you see is what you get: Experience ranking with deep neural dataset-to-dataset similarity for topological localisation
In the case of localisation, important dataset differences impacting performance are modes of appearance change, including weather, lighting, and season.
Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations
For this, we propose representing images - and by extension datasets - using Distributions of Neuron Activations (DNAs).
NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge
This paper presents and discusses algorithms, hardware, and software architecture developed by the TEAM CoSTAR (Collaborative SubTerranean Autonomous Robots), competing in the DARPA Subterranean Challenge.
DOOR-SLAM: Distributed, Online, and Outlier Resilient SLAM for Robotic Teams
This paper introduces DOOR-SLAM, a fully distributed SLAM system with an outlier rejection mechanism that can work with less conservative parameters.
Robotics
Decentralized Connectivity Control in Quadcopters: a Field Study of Communication Performance
Redundancy and parallelism make decentralized multi-robot systems appealing solutions for the exploration of extreme environments.
Robotics Multiagent Systems C.2.4; C.4; I.2.9
