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03/05/2023
Continuous-Time Gaussian Process Motion-Compensation for Event-vision Pattern Tracking with Distance Fields
This work addresses the issue of motion compensation and pattern trackin...
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02/25/2023
Accurate Gaussian Process Distance Fields with applications to Echolocation and Mapping
This paper introduces a novel method to estimate distance fields from no...
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02/08/2023
Guided Learning from Demonstration for Robust Transferability
Learning from demonstration (LfD) has the potential to greatly increase ...
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01/24/2023
Topological Trajectory Prediction with Homotopy Classes
Trajectory prediction in a cluttered environment is key to many importan...
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11/16/2022
Semantic keypoint extraction for scanned animals using multi-depth-camera systems
Keypoint annotation in point clouds is an important task for 3D reconstr...
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09/12/2022
Continuous Planning for Inertial-Aided Systems
Inertial-aided systems require continuous motion excitation among other ...
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06/19/2022
Log-GPIS-MOP: A Unified Representation for Mapping, Odometry and Planning
Whereas dedicated scene representations are required for each different ...
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03/29/2022
Sparse Pose Graph Optimization in Cycle Space
The state-of-the-art modern pose-graph optimization (PGO) systems are ve...
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03/08/2022
Informative Planning for Worst-Case Error Minimisation in Sparse Gaussian Process Regression
We present a planning framework for minimising the deterministic worst-c...
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02/21/2022
Computational Pattern Making from 3D Garment Models
We propose a method for computing a sewing pattern of a given 3D garment...
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09/29/2021
Adaptive-Resolution Gaussian Process Mapping for Efficient UAV-based Terrain Monitoring
Unmanned aerial vehicles (UAVs) are rapidly gaining popularity in a vari...
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09/14/2021
GPGM-SLAM: a Robust SLAM System for Unstructured Planetary Environments with Gaussian Process Gradient Maps
Simultaneous Localization and Mapping (SLAM) techniques play a key role ...
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12/05/2020
Efficient Volumetric Mapping Using Depth Completion With Uncertainty for Robotic Navigation
In robotic applications, a key requirement for safe and efficient motion...
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10/25/2020
Active and Interactive Mapping with Dynamic Gaussian ProcessImplicit Surfaces for Mobile Manipulators
In this paper, we present an interactive probabilistic framework for a m...
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10/22/2020
Faithful Euclidean Distance Field from Log-Gaussian Process Implicit Surfaces
In this letter, we introduce the Log-Gaussian Process Implicit Surface (...
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09/01/2020
Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments
The ability to recognize previously mapped locations is an essential fea...
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08/13/2020
IDOL: A Framework for IMU-DVS Odometry using Lines
In this paper, we introduce IDOL, an optimization-based framework for IM...
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07/02/2019
Gaussian Mixture Marginal Distributions for Modelling Remaining Pipe Wall Thickness of Critical Water Mains in Non-Destructive Evaluation
Rapidly estimating the remaining wall thickness (RWT) is paramount for t...
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05/23/2019
IN2LAAMA: INertial Lidar Localisation Autocalibration And MApping
In this paper, we present INertial Lidar Localisation Autocalibration An...
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02/25/2019
Informative Path Planning and Mapping for Active Sensing Under Localization Uncertainty
Robotic platforms are emerging as a timely and cost-efficient tool for e...
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09/08/2018