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ORCIDDmitriy Shutin
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2020 – today
- 2024
[j33]Samuel Yanes Luis
, Dmitriy Shutin, Juan Marchal Gómez, Daniel Gutiérrez-Reina, Sergio L. Toral Marín:
Deep Reinforcement Multiagent Learning Framework for Information Gathering with Local Gaussian Processes for Water Monitoring. Adv. Intell. Syst. 6(8) (2024)- [j32]Rakesh John Amala Arokia Nathan, Sigrid Strand, Dmitriy Shutin, Oliver Bimber:
Reciprocal Visibility for Guided Occlusion Removal With Drones. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j31]Ban-Sok Shin, Dmitriy Shutin:
Joint Distributed Traveltime and Full Waveform Tomography for Enhanced Subsurface Imaging in Seismic Networks. IEEE Trans. Computational Imaging 10: 600-612 (2024) - [c44]Ban-Sok Shin, Luis Wientgens, Dmitriy Shutin:
Imaging on the Edge: GPU-Accelerated Traveltime Tomography on a Jetson Nano. EUSIPCO 2024: 601-605 - [c43]Victor Scott Prieto Ruiz, Dmitriy Shutin, Thomas Wiedemann, Patrick Hinsen:
Physics-Guided Neural Networks for Distributed Sparse Gas Source Localization Using Poisson's Equation and Green's Function Method. EUSIPCO 2024: 2237-2241 - [c42]Dmitriy Shutin:
Asymptotic Behavior of Super-Resolution Sparse Bayesian Learning. ICASSP 2024: 9766-9770 - [c41]Ban-Sok Shin, Dhruv Patel, Luis Wientgens, Dmitriy Shutin, Armin Dekorsy:
Multi-Agent 3D Seismic Exploration Using Adapt-then-Combine Full Waveform Inversion in a hardware-in-the-loop System. ICASSP 2024: 12911-12915 - [c40]Thomas Wiedemann, Patrick Hinsen, Victor Scott Prieto Ruiz, Dmitriy Shutin, Achim J. Lilienthal:
Domain Knowledge Assisted Gas Tomography. ISOEN 2024: 1-3 - [c39]Patrick Hinsen, Thomas Wiedemann, Victor Scott Prieto Ruiz, Dmitriy Shutin, Achim J. Lilienthal:
Experimental Study of Gas Propagation: Parameter Identification and Analysis in a Wind Tunnel. ISOEN 2024: 1-3 - [c38]Victor Scott Prieto Ruiz, Patrick Hinsen, Thomas Wiedemann, Dmitriy Shutin, Constantin Christof:
Gas Source Localization Using Physics-Guided Neural Networks. ISOEN 2024: 1-3 - [c37]Ban-Sok Shin, Dmitriy Shutin:
Sampling and Exploration Strategies for Multi-Agent Seismic Imaging Using 3D Full Waveform Inversion. SiPS 2024: 66-71 - [c36]Dmitriy Shutin, Victor Scott Prieto Ruiz, Thomas Wiedemann, Patrick Hinsen, Armin Dammann:
Cramer-Rao Lower Bound for a Gas Source Localization Based on Poisson's Equation. SiPS 2024: 77-82 - [i4]Samuel Yanes Luis, Dmitriy Shutin, Juan Marchal Gómez, Daniel Gutiérrez-Reina, Sergio L. Toral Marín:
Deep Reinforcement Multi-agent Learning framework for Information Gathering with Local Gaussian Processes for Water Monitoring. CoRR abs/2401.04631 (2024) - [i3]Rakesh John Amala Arokia Nathan, Sigrid Strand, Dmitriy Shutin, Oliver Bimber:
Reciprocal Visibility. CoRR abs/2402.06991 (2024) - [i2]Victor Scott Prieto Ruiz, Patrick Hinsen, Thomas Wiedemann, Constantin Christof, Dmitriy Shutin:
Gas Source Localization Using physics Guided Neural Networks. CoRR abs/2405.04151 (2024) - [i1]Rakesh John Amala Arokia Nathan, Sigrid Strand, Daniel Mehrwald, Dmitriy Shutin, Oliver Bimber:
An Autonomous Drone Swarm for Detecting and Tracking Anomalies among Dense Vegetation. CoRR abs/2407.10754 (2024) - 2023
- [j30]Patrick Hinsen, Thomas Wiedemann, Dmitriy Shutin, Achim J. Lilienthal:
Exploration and Gas Source Localization in Advection-Diffusion Processes with Potential-Field-Controlled Robotic Swarms. Sensors 23(22): 9232 (2023) - [c35]Dmitriy Shutin, Thomas Wiedemann, Patrick Hinsen:
Distributed Superresolution Gas Source Localization Based on Poisson Equation. CAMSAP 2023: 371-375 - [c34]Ban-Sok Shin, Luis Wientgens, Dmitriy Shutin:
Parallel 2D Seismic Ray Tracing Using Cuda on a Jetson Nano. ICASSP 2023: 1-5 - 2022
- [j29]Christoph Manss, Isabel Kuehner, Dmitriy Shutin:
Experimental Validation of Entropy-Driven Swarm Exploration under Sparsity Constraints with Sparse Bayesian Learning. Entropy 24(5): 580 (2022) - [j28]Ban-Sok Shin, Dmitriy Shutin:
Distributed Traveltime Tomography Using Kernel-Based Regression in Seismic Networks. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j27]Ban-Sok Shin, Luis Wientgens, Marius Schaab, Dmitriy Shutin:
Near-Surface Seismic Measurements in Gravel Pit, over Highway Tunnel and Underground Tubes with Ground Truth Information as an Open Data Set. Sensors 22(17): 6687 (2022) - [c33]Vasileios Mygdalis, Lorenzo Carnevale, José Ramiro Martinez de Dios, Dmitriy Shutin, Giovanni Aiello, Massimo Villari, Ioannis Pitas:
OTE: Optimal Trustworthy EdgeAI solutions for smart cities. CCGRID 2022: 842-850 - [c32]Thomas Wiedemann, Marius Schaab, Juan Marchal Gomez, Dmitriy Shutin, Monika Scheibe, Achim J. Lilienthal:
Gas Source Localization Based on Binary Sensing with a UAV. ISOEN 2022: 1-3 - [c31]Patrick Hinsen, Thomas Wiedemann, Dmitriy Shutin:
Potential Field Based Swarm Exploration of Processes Governed by Partial Differential Equations. ROBOT (2) 2022: 117-129 - 2021
- [j26]Dmitriy Shutin, Ban-Sok Shin:
Variational Bayesian Learning for Decentralized Blind Deconvolution of Seismic Signals Over Sensor Networks. IEEE Access 9: 164316-164330 (2021) - [j25]Alexandra Filip-Dhaubhadel, Dmitriy Shutin:
Long Coherent Integration in Passive Radar Systems Using Super-Resolution Sparse Bayesian Learning. IEEE Trans. Aerosp. Electron. Syst. 57(1): 554-572 (2021) - [c30]Ban-Sok Shin, Dmitriy Shutin:
ADAPT-Then-Combine Full Waveform Inversion for Distributed Subsurface Imaging In Seismic Networks. ICASSP 2021: 4700-4704 - 2020
- [j24]Valentina Karolj, Alberto Viseras, Luis Merino, Dmitriy Shutin:
An Integrated Strategy for Autonomous Exploration of Spatial Processes in Unknown Environments. Sensors 20(13): 3663 (2020) - [j23]Christoph Manss, Dmitriy Shutin, Geert Leus:
Consensus Based Distributed Sparse Bayesian Learning by Fast Marginal Likelihood Maximization. IEEE Signal Process. Lett. 27: 2119-2123 (2020) - [j22]Michael Walter, Dmitriy Shutin, Martin Schmidhammer, David W. Matolak, Alenka G. Zajic:
Geometric Analysis of the Doppler Frequency for General Non-Stationary 3D Mobile-to-Mobile Channels Based on Prolate Spheroidal Coordinates. IEEE Trans. Veh. Technol. 69(10): 10419-10434 (2020) - [c29]Ban-Sok Shin, Dmitriy Shutin:
Distributed Blind Deconvolution of Seismic Signals Under Sparsity Constraints in Sensor Networks. MLSP 2020: 1-6 - [c28]Shengdi Wang, Ban-Sok Shin, Dmitriy Shutin, Armin Dekorsy:
Diffusion Field Estimation Using Decentralized Kernel Kalman Filter with Parameter Learning Over Hierarchical Sensor Networks. MLSP 2020: 1-6
2010 – 2019
- 2019
- [j21]Thomas Wiedemann, Dmitriy Shutin, Achim J. Lilienthal:
Model-based gas source localization strategy for a cooperative multi-robot system - A probabilistic approach and experimental validation incorporating physical knowledge and model uncertainties. Robotics Auton. Syst. 118: 66-79 (2019) - [j20]Thomas Wiedemann, Achim J. Lilienthal, Dmitriy Shutin:
Analysis of Model Mismatch Effects for a Model-Based Gas Source Localization Strategy Incorporating Advection Knowledge. Sensors 19(3): 520 (2019) - [j19]Alberto Viseras Ruiz, Dmitriy Shutin, Luis Merino:
Robotic Active Information Gathering for Spatial Field Reconstruction with Rapidly-Exploring Random Trees and Online Learning of Gaussian Processes. Sensors 19(5): 1016 (2019) - [j18]Alberto Viseras Ruiz, Thomas Wiedemann, Christoph Manss, Valentina Karolj, Dmitriy Shutin, Juan Marchal Gomez:
Beehive-Inspired Information Gathering with a Swarm of Autonomous Drones. Sensors 19(19): 4349 (2019) - [j17]Michael Walter, Dmitriy Shutin, David W. Matolak, Nicolas Schneckenburger, Thomas Wiedemann, Armin Dammann:
Analysis of Non-Stationary 3D Air-to-Air Channels Using the Theory of Algebraic Curves. IEEE Trans. Wirel. Commun. 18(8): 3767-3780 (2019) - [j16]Siwei Zhang, Thomas Jost, Robert Pöhlmann, Armin Dammann, Dmitriy Shutin, Peter Adam Hoeher:
Spherical Wave Positioning Based on Curvature of Arrival by an Antenna Array. IEEE Wirel. Commun. Lett. 8(2): 504-507 (2019) - [c27]Christoph Manss, Dmitriy Shutin, Alberto Viseras, Geert Leus:
Coordination Methods for Entropy-Based Multi-Agent Exploration Under Sparsity Constraints. CAMSAP 2019: 490-494 - 2018
- [j15]Thomas Wiedemann, Christoph Manss, Dmitriy Shutin:
Multi-agent exploration of spatial dynamical processes under sparsity constraints. Auton. Agents Multi Agent Syst. 32(1): 134-162 (2018) - [j14]Alexandra Filip, Dmitriy Shutin:
Ambiguity Function Analysis for OFDM-Based LDACS Passive Multistatic Radar. IEEE Trans. Aerosp. Electron. Syst. 54(3): 1323-1340 (2018) - [j13]Nicolas Schneckenburger, Thomas Jost, Dmitriy Shutin, Michael Walter, Giovanni Del Galdo, Uwe-Carsten Fiebig:
Reflector Localization for Geometrical Modeling the Air-Ground Channel. IEEE Trans. Veh. Technol. 67(9): 7994-8008 (2018) - [j12]Michael Walter, Dmitriy Shutin, Armin Dammann:
Algebraic Analysis of the Poles in the Doppler Spectrum for Vehicle-to-Vehicle Channels. IEEE Wirel. Commun. Lett. 7(4): 662-665 (2018) - [c26]Juan Marchal Gomez, Thomas Wiedemann, Dmitriy Shutin:
Unmanned Aerial Vehicles in Wireless Sensor Networks: Automated Sensor Deployment and Mobile Sink Nodes. IAS 2018: 943-953 - [c25]Christoph Manss, Dmitriy Shutin, Geert Leus:
Distributed Splitting-Over-Features Sparse Bayesian Learning with Alternating Direction Method of Multipliers. ICASSP 2018: 3654-3658 - [c24]Michael Walter, Dmitriy Shutin, Armin Dammann, David W. Matolak:
Modeling of Highly Non-Stationary Low Altitude Aircraft-to-Aircraft Channels. MILCOM 2018: 1-5 - 2017
- [j11]Michael Walter, Dmitriy Shutin, Armin Dammann:
Time-Variant Doppler PDFs and Characteristic Functions for the Vehicle-to-Vehicle Channel. IEEE Trans. Veh. Technol. 66(12): 10748-10763 (2017) - [c23]Dmitriy Shutin, Boris Vexler:
Sparse Bayesian learning with dictionary refinement for super-resolution through time. CAMSAP 2017: 1-5 - [c22]Thomas Wiedemann, Christoph Manss, Dmitriy Shutin, Achim J. Lilienthal, Valentina Karolj, Alberto Viseras Ruiz:
Probabilistic modeling of gas diffusion with partial differential equations for multi-robot exploration and gas source localization. ECMR 2017: 1-7 - [c21]Christoph Manss, Thomas Wiedemann, Dmitriy Shutin:
Entropy Driven Height Profile Estimation with Multiple UAVs under Sparsity Constraints. GLOBECOM Workshops 2017: 1-6 - [c20]Alberto Viseras Ruiz, Dmitriy Shutin, Luis Merino:
Online information gathering using sampling-based planners and GPs: An information theoretic approach. IROS 2017: 123-130 - 2016
- [j10]Nicolas Schneckenburger, Thomas Jost, Dmitriy Shutin, Michael Walter, Thanawat Thiasiriphet, Michael Schnell, Uwe-Carsten Fiebig:
Measurement of the l-band air-to-ground channel for positioning applications. IEEE Trans. Aerosp. Electron. Syst. 52(5): 2281-2297 (2016) - [c19]Dmitriy Shutin, Siwei Zhang:
Distributed sparsity-based bearing estimation with a swarm of cooperative agents. GlobalSIP 2016: 555-559 - [c18]Alberto Viseras Ruiz, Thomas Wiedemann, Christoph Manss, Lukas Magel, Joachim Müller, Dmitriy Shutin, Luis Merino:
Decentralized multi-agent exploration with online-learning of Gaussian processes. ICRA 2016: 4222-4229 - 2015
- [j9]Niels Lovmand Pedersen, Carles Navarro i Manchon, Mihai-Alin Badiu, Dmitriy Shutin, Bernard Henri Fleury:
Sparse estimation using Bayesian hierarchical prior modeling for real and complex linear models. Signal Process. 115: 94-109 (2015) - [c17]Dmitriy Shutin, Boris Vexler:
A semismooth Newton method for adaptive distributed sparse linear regression. CAMSAP 2015: 433-436 - [c16]Christoph Manss, Dmitriy Shutin, Alberto Viseras Ruiz, Thomas Wiedemann, Joachim Müller:
Exploration under sparsity constraints. ECMR 2015: 1-6 - [c15]Michael Walter, Thomas Zemen, Dmitriy Shutin:
Empirical relationship between local scattering function and joint probability density function. PIMRC 2015: 542-546 - 2014
- [j8]Michael Schnell, Ulrich Epple, Dmitriy Shutin, Nicolas Schneckenburger:
LDACS: future aeronautical communications for air-traffic management. IEEE Commun. Mag. 52(5): 104-110 (2014) - [c14]Nicolas Schneckenburger, Dmitriy Shutin:
Sparse adaptive multipath tracking for low bandwidth ranging applications. ICASSP 2014: 6424-6428 - 2012
- [j7]Dmitriy Shutin, Christoph Zechner, Sanjeev R. Kulkarni, H. Vincent Poor:
Regularized Variational Bayesian Learning of Echo State Networks with Delay&Sum Readout. Neural Comput. 24(4): 967-995 (2012) - [j6]Dmitriy Shutin, Sanjeev R. Kulkarni, H. Vincent Poor:
Incremental Reformulated Automatic Relevance Determination. IEEE Trans. Signal Process. 60(9): 4977-4981 (2012) - [j5]Ulrich Epple, Dmitriy Shutin, Michael Schnell:
Mitigation of Impulsive Frequency-Selective Interference in OFDM Based Systems. IEEE Wirel. Commun. Lett. 1(5): 484-487 (2012) - [c13]Niels Lovmand Pedersen, Carles Navarro i Manchon, Dmitriy Shutin, Bernard H. Fleury:
Application of Bayesian hierarchical prior modeling to sparse channel estimation. ICC 2012: 3487-3492 - [c12]Thomas Buchgraber, Dmitriy Shutin:
Distributed variational sparse Bayesian learning for sensor networks. MLSP 2012: 1-6 - [c11]Dmitriy Shutin, Thomas Buchgraber:
Trading approximation quality versus sparsity within incremental automatic relevance determination frameworks. MLSP 2012: 1-6 - 2011
- [j4]Dmitriy Shutin, Bernard H. Fleury:
Sparse Variational Bayesian SAGE Algorithm With Application to the Estimation of Multipath Wireless Channels. IEEE Trans. Signal Process. 59(8): 3609-3623 (2011) - [j3]Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulkarni, H. Vincent Poor:
Fast Variational Sparse Bayesian Learning With Automatic Relevance Determination for Superimposed Signals. IEEE Trans. Signal Process. 59(12): 6257-6261 (2011) - [c10]Dmitriy Shutin, Sanjeev R. Kulkarni, H. Vincent Poor:
Stationary point variational Bayesian attribute-distributed sparse learning with ℓ1 sparsity constraints. CAMSAP 2011: 277-280 - [c9]Thomas Buchgraber, Dmitriy Shutin, H. Vincent Poor:
A sliding-window online fast variational sparse Bayesian learning algorithm. ICASSP 2011: 2128-2131 - [c8]Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulkarni, H. Vincent Poor:
Fast adaptive variational sparse Bayesian learning with automatic relevance determination. ICASSP 2011: 2180-2183 - [c7]Thomas Buchgraber, Dmitriy Shutin:
Sparse Bayesian consensus-based distributed field estimation. ICSPCS 2011: 1-8 - 2010
- [j2]Dmitriy Shutin, Olga Zlobinskaya:
Application of information-theoretic measures to quantitative analysis of immunofluorescent microscope imaging. Comput. Methods Programs Biomed. 97(2): 114-129 (2010) - [c6]Dmitriy Shutin, Haipeng Zheng, Bernard H. Fleury, Sanjeev R. Kulkarni, H. Vincent Poor:
Space-alternating attribute-distributed sparse learning. CIP 2010: 209-214 - [c5]Christoph Zechner, Dmitriy Shutin:
Bayesian learning of Echo State Networks with tunable filters and delay&sum readouts. ICASSP 2010: 1998-2001 - [c4]Dmitriy Shutin, Manfred Mücke:
Evidence-based custom-precision estimation with applications to solving nonlinear approximation problems. ICASSP 2010: 2094-2097
2000 – 2009
- 2007
- [j1]Dmitriy Shutin, Gernot Kubin, Bernard H. Fleury:
Application of the Evidence Procedure to the Estimation of Wireless Channels. EURASIP J. Adv. Signal Process. 2007 (2007) - [c3]Dmitriy Shutin, Gernot Kubin:
Tracking and Prediction of Multipath Components in Wireless MIMO Channels. VTC Spring 2007: 329-333 - 2005
- [c2]Dmitriy Shutin, Bernard H. Fleury:
Application of the evidence procedure to the estimation of the number of paths in wireless channels. ICASSP (3) 2005: 749-752 - 2004
- [c1]Dmitriy Shutin, Gernot Kubin:
Cluster analysis of wireless channel impulse responses with hidden Markov models. ICASSP (4) 2004: 949-952
Coauthor Index
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