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09/04/2023
ReLoc-PDR: Visual Relocalization Enhanced Pedestrian Dead Reckoning via Graph Optimization
Accurately and reliably positioning pedestrians in satellite-denied cond...
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08/30/2023
Drone-NeRF: Efficient NeRF Based 3D Scene Reconstruction for Large-Scale Drone Survey
Neural rendering has garnered substantial attention owing to its capacit...
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08/27/2023
Deep Learning for Visual Localization and Mapping: A Survey
Deep learning based localization and mapping approaches have recently em...
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03/07/2023
Deep Learning for Inertial Positioning: A Survey
Inertial sensor has been widely deployed on smartphones, drones, robots ...
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11/16/2022
Self-supervised Egomotion and Depth Learning via Bi-directional Coarse-to-Fine Scale Recovery
Self-supervised learning of egomotion and depth has recently attracted g...
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09/18/2022
EMA-VIO: Deep Visual-Inertial Odometry with External Memory Attention
Accurate and robust localization is a fundamental need for mobile agents...
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09/14/2022
DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction
Self-supervised depth learning from monocular images normally relies on ...
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03/01/2021
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching
Accurately describing and detecting 2D and 3D keypoints is crucial to es...
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06/22/2020
A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence
Deep learning based localization and mapping has recently attracted sign...
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03/12/2020
MVLoc: Multimodal Variational Geometry-Aware Learning for Visual Localization
Recent learning-based research has achieved impressive results in the fi...
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03/05/2020
PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization
In this paper, we present a novel end-to-end learning-based LiDAR reloca...
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01/13/2020
Deep Learning based Pedestrian Inertial Navigation: Methods, Dataset and On-Device Inference
Modern inertial measurements units (IMUs) are small, cheap, energy effic...
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12/30/2019
SelectFusion: A Generic Framework to Selectively Learn Multisensory Fusion
Autonomous vehicles and mobile robotic systems are typically equipped wi...
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10/13/2019
DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network
Odometry is of key importance for localization in the absence of a map. ...
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09/16/2019
DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination
Visual odometry shows excellent performance in a wide range of environme...
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09/08/2019
AtLoc: Attention Guided Camera Localization
Deep learning has achieved impressive results in camera localization, bu...
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08/14/2019
Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues
Facial recognition is a key enabling component for emerging Internet of ...
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08/11/2019
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction
Dynamical models estimate and predict the temporal evolution of physical...
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03/04/2019
Selective Sensor Fusion for Neural Visual-Inertial Odometry
Deep learning approaches for Visual-Inertial Odometry (VIO) have proven ...
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11/27/2018
Learning with Stochastic Guidance for Navigation
Due to the sparse rewards and high degree of environment variation, rein...
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10/04/2018
Transferring Physical Motion Between Domains for Neural Inertial Tracking
Inertial information processing plays a pivotal role in ego-motion aware...
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09/20/2018
OxIOD: The Dataset for Deep Inertial Odometry
Advances in micro-electro-mechanical (MEMS) techniques enable inertial m...
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01/30/2018