iMag: Accurate and rapidly deployable inertial magneto-inductive localisation

iMag: Accurate and rapidly deployable inertial magneto-inductive localisation

Localisation is of importance for many applications. Our motivating scenarios are short-term construction work and emergency rescue. Not only is accuracy necessary, these scenarios also require rapid setup and robustness to environmental conditions. These requirements preclude the use of many tradit...

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Bibliografiske detaljer
Main Authors:	Wei, B, Trigoni, N, Markham, AC
Format:	Conference item
Udgivet:	IEEE 2018

Lignende værker

iMag+: an accurate and rapidly deployable inertial magneto-inductive SLAM system
af: Wei, B, et al.
Udgivet: (2021)

Distortion rejecting magneto-inductive three-dimensional localization (MagLoc)
af: Abrudan, T, et al.
Udgivet: (2015)

Underground incrementally deployed magneto-inductive 3-D positioning network
af: Abrudan, TE, et al.
Udgivet: (2016)

Magneto-inductive tracking in underground environments
af: Abrudan, T, et al.
Udgivet: (2017)

Underground Localization in 3−D Using Magneto−Inductive Tracking
af: Markham, A, et al.
Udgivet: (2012)

Demo: IMU−Aided Magneto−Inductive Localization
af: Abrudan, T, et al.
Udgivet: (2015)

Magneto-inductive networked rescue system (MINERS): taking sensor networks underground.
af: Markham, A, et al.
Udgivet: (2012)

Magneto−inductive networked rescue system (MINERS): taking sensor networks underground
af: Markham, A, et al.
Udgivet: (2012)

A Case for Magneto−Inductive Indoor Localization (BEST POSTER AWARD)
af: Abrudan, T, et al.
Udgivet: (2015)

Underground Localization in 3−D Using Magneto−Inductive Tracking
af: Markham, A, et al.
Udgivet: (2012)

Sensor fusion for magneto-inductive navigation
af: Wahlstrom, J, et al.
Udgivet: (2019)

Revealing the hidden lives of underground animals using magneto-inductive tracking.
af: Markham, A, et al.
Udgivet: (2010)

A new Magneto−Inductive tracking technique to uncover subterranean activity: What do animals do underground?
af: Noonan, M, et al.
Udgivet: (2015)

Deep neural network based inertial odometry using low-cost inertial measurement units
af: Chen, C, et al.
Udgivet: (2019)

IONet: Learning to Cure the Curse of Drift in Inertial Odometry
af: Chen, C, et al.
Udgivet: (2018)

Reducing Magneto-Inductive Positioning Errors in a Metal-Rich Indoor Environment
af: Kypris, O, et al.
Udgivet: (2016)

VINet: Visual-inertial odometry as a sequence-to-sequence learning problem
af: Clark, R, et al.
Udgivet: (2017)

Fusion of Radio and Camera Sensor Data for Accurate Indoor Positioning
af: Papaioannou, S, et al.
Udgivet: (2014)

MAGinator enables accurate profiling of de novo MAGs with strain-level phylogenies
af: Trine Zachariasen, et al.
Udgivet: (2024-07-01)

Accurate positioning via cross-modality training
af: Papaioannou, S, et al.
Udgivet: (2015)

Selective sensor fusion for neural visual-inertial odometry
af: Chen, C, et al.
Udgivet: (2019)

Rapid Exploration of Unknown Areas Through Dynamic Deployment of Mobile and Stationary Sensor Nodes
af: Ferranti, E, et al.
Udgivet: (2009)

Magneto-inertial range dominated by magnetic helicity in space plasmas
af: Alexander Bershadskii
Udgivet: (2024-09-01)

Magneto-Inertial Fusion and Powerful Plasma Installations (A Review)
af: Sergei V. Ryzhkov
Udgivet: (2023-05-01)

A Novel Biomimetic Magnetosensor Based on Magneto‐Optically Involved Conformational Variation of MagR/Cry4 Complex
af: Le Xue, et al.
Udgivet: (2020-04-01)

Fast and accurate algorithm for eye localisation for gaze tracking in low‐resolution images
af: Anjith George, et al.
Udgivet: (2016-10-01)

Deep learning based pedestrian inertial navigation: methods, dataset and on-device inference
af: Chen, C, et al.
Udgivet: (2020)

MotionTransformer: Transferring neural inertial tracking between domains
af: Chen, C, et al.
Udgivet: (2019)

Optimisation of sensor deployment for acoustic detection and localisation in terrestrial environments
af: Piña-Covarrubias, E, et al.
Udgivet: (2018)

Poster: WiFi sensors meet visual tracking for an accurate positioning system
af: Papaioannou, S, et al.
Udgivet: (2014)

Effect of rainfall on link quality in an outdoor forest deployment
af: Trigoni, S
Udgivet: (2010)

Validation and Assessment of a Posture Measurement System with Magneto-Inertial Measurement Units
af: Davide Paloschi, et al.
Udgivet: (2021-10-01)

Magneto-inductive wave data communications systems
af: Chan, C
Udgivet: (2014)

The temporal cost of deploying attention limits accurate target identification in rapid serial visual presentation
af: Anna R. Kimata, et al.
Udgivet: (2023-03-01)

Enhanced Channel Calibration for the Image Sensor of the TuMag Instrument
af: Eduardo Magdaleno, et al.
Udgivet: (2022-03-01)

Low-cost underwater localisation using single-beam echosounders and inertial measurement units
af: Abu Bakr Azam, et al.
Udgivet: (2023)

Learning to Localise Automated Vehicles in Challenging Environments Using Inertial Navigation Systems (INS)
af: Uche Onyekpe, et al.
Udgivet: (2021-01-01)

RIOT: Recursive Inertial Odometry Transformer for Localisation from Low-Cost IMU Measurements
af: James Brotchie, et al.
Udgivet: (2023-03-01)

Tegnologie: Menslike mag of onmag?
af: Gafie van Wyk
Udgivet: (1996-12-01)

Rouw mag er zijn
af: Marlieke Moors
Udgivet: (2015-12-01)