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08/07/2023
SEM-GAT: Explainable Semantic Pose Estimation using Learned Graph Attention
This paper proposes a GNN-based method for exploiting semantics and loca...
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06/26/2023
Visual Servoing on Wheels: Robust Robot Orientation Estimation in Remote Viewpoint Control
This work proposes a fast deployment pipeline for visually-servoed robot...
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06/21/2023
Off the Radar: Uncertainty-Aware Radar Place Recognition with Introspective Querying and Map Maintenance
Localisation with Frequency-Modulated Continuous-Wave (FMCW) radar has g...
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04/20/2023
Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations
Selecting appropriate datasets is critical in modern computer vision. Ho...
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06/30/2022
BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR
This paper is about extremely robust and lightweight localisation using ...
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06/21/2022
What Goes Around: Leveraging a Constant-curvature Motion Constraint in Radar Odometry
This paper presents a method that leverages vehicle motion constraints t...
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03/07/2022
Depth-SIMS: Semi-Parametric Image and Depth Synthesis
In this paper we present a compositing image synthesis method that gener...
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03/01/2022
Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry
Masking By Moving (MByM), provides robust and accurate radar odometry me...
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10/06/2021
Contrastive Learning for Unsupervised Radar Place Recognition
We learn, in an unsupervised way, an embedding from sequences of radar i...
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06/16/2021
The Oxford Road Boundaries Dataset
In this paper we present the Oxford Road Boundaries Dataset, designed fo...
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06/12/2021
Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos
We learn, in an unsupervised way, an embedding from sequences of radar i...
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03/01/2021
Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning
In this work, we train a network to simultaneously perform segmentation ...
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05/11/2020
Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision
Reliable outdoor deployment of mobile robots requires the robust identif...
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05/05/2020
Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios
This paper discusses ongoing work in demonstrating research in mobile au...
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04/02/2020
RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar
This paper presents an efficient annotation procedure and an application...
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03/10/2020
LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic
This paper presents a system for improving the robustness of LiDAR later...
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03/10/2020
Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance
This paper details an application which yields significant improvements ...
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02/24/2020
Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset
We describe the release of reference data towards a challenging long-ter...
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01/26/2020
Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning
This paper presents a system for robust, large-scale topological localis...
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09/03/2019
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset
In this paper we present The Oxford Radar RobotCar Dataset, a new datase...
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01/17/2018
