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20152025
most citedSemantics for Robotic Mapping, Perception and Interaction: A Survey

103 citations · 738 across the 65 of their papers we have counts for

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Showing 2021Show all

23 papers · 1 filter

cs.RO2021★ 1 cited

Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots

Krishan Rana, Vibhavari Dasagi, Jesse Haviland +3

While deep reinforcement learning (RL) agents have demonstrated incredible potential in attaining dexterous behaviours for robotics, they tend to make errors when deployed in the r…

cs.CV2021★ 4 cited

Unsupervised Complementary-aware Multi-process Fusion for Visual Place Recognition

Stephen Hausler, Tobias Fischer, Michael Milford

A recent approach to the Visual Place Recognition (VPR) problem has been to fuse the place recognition estimates of multiple complementary VPR techniques simultaneously. However, s…

cs.CV2021

PointCrack3D: Crack Detection in Unstructured Environments using a 3D-Point-Cloud-Based Deep Neural Network

Faris Azhari, Charlotte Sennersten, Michael Milford +1

Surface cracks on buildings, natural walls and underground mine tunnels can indicate serious structural integrity issues that threaten the safety of the structure and people in the…

cs.CV2021

A Benchmark Comparison of Visual Place Recognition Techniques for Resource-Constrained Embedded Platforms

Rose Power, Mubariz Zaffar, Bruno Ferrarini +3

Visual Place Recognition (VPR) has been a subject of significant research over the last 15 to 20 years. VPR is a fundamental task for autonomous navigation as it enables self-local…

cs.CV2021

An Efficient and Scalable Collection of Fly-inspired Voting Units for Visual Place Recognition in Changing Environments

Bruno Arcanjo, Bruno Ferrarini, Michael Milford +2

State-of-the-art visual place recognition performance is currently being achieved utilizing deep learning based approaches. Despite the recent efforts in designing lightweight conv…

cs.CV2021

Spiking Neural Networks for Visual Place Recognition via Weighted Neuronal Assignments

Somayeh Hussaini, Michael Milford, Tobias Fischer

Spiking neural networks (SNNs) offer both compelling potential advantages, including energy efficiency and low latencies and challenges including the non-differentiable nature of e…