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09/16/2023
RMP: A Random Mask Pretrain Framework for Motion Prediction
As the pretraining technique is growing in popularity, little work has b...
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09/15/2023
Simultaneous Trajectory Estimation and Mapping for Autonomous Underwater Proximity Operations
Due to the challenges regarding the limits of their endurance and autono...
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11/10/2022
Online Stochastic Variational Gaussian Process Mapping for Large-Scale SLAM in Real Time
Autonomous underwater vehicles (AUVs) are becoming standard tools for un...
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09/18/2022
Data-driven Loop Closure Detection in Bathymetric Point Clouds for Underwater SLAM
Simultaneous localization and mapping (SLAM) frameworks for autonomous n...
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06/18/2022
Neural Shape-from-Shading for Survey-Scale Self-Consistent Bathymetry from Sidescan
Sidescan sonar is a small and cost-effective sensing solution that can b...
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06/15/2022
Towards Differentiable Rendering for Sidescan Sonar Imagery
Recent advances in differentiable rendering, which allow calculating the...
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06/15/2022
Neural Network Normal Estimation and Bathymetry Reconstruction from Sidescan Sonar
Sidescan sonar intensity encodes information about the changes of surfac...
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06/15/2022
High-Resolution Bathymetric Reconstruction From Sidescan Sonar With Deep Neural Networks
We propose a novel data-driven approach for high-resolution bathymetric ...
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03/21/2022
Fully-probabilistic Terrain Modelling with Stochastic Variational Gaussian Process Maps
Gaussian processes (GPs) are becoming a standard tool to build terrain r...
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02/23/2021
Interpretability in Contact-Rich Manipulation via Kinodynamic Images
Deep Neural Networks (NNs) have been widely utilized in contact-rich man...
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03/27/2020
Towards Autonomous Industrial-Scale Bathymetric Surveying
Both higher efficiency and cost reduction can be gained from automating ...
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03/24/2020
PointNetKL: Deep Inference for GICP Covariance Estimation in Bathymetric SLAM
Registration methods for point clouds have become a key component of man...
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02/02/2020
Interpreting video features: a comparison of 3D convolutional networks and convolutional LSTM networks
A number of techniques for interpretability have been presented for deep...
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03/21/2019
Sparse2Dense: From direct sparse odometry to dense 3D reconstruction
In this paper, we proposed a new deep learning based dense monocular SLA...
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02/28/2019
GCNv2: Efficient Correspondence Prediction for Real-Time SLAM
In this paper, we present a deep learning-based network, GCNv2, for gene...
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04/27/2018
Deep Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments
Mobile robot navigation in complex and dynamic environments is a challen...
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01/28/2018
Multiple Object Detection, Tracking and Long-Term Dynamics Learning in Large 3D Maps
In this work, we present a method for tracking and learning the dynamics...
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12/22/2017
Detection and Tracking of General Movable Objects in Large 3D Maps
This paper studies the problem of detection and tracking of general obje...
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10/18/2017