Dmitriy Shutin

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 53

Top Topics

Source Localization

Partial Differential Equations

Sparsity Constraints

Top Venues

Publications

Rakesh John Amala Arokia Nathan, Sigrid Strand, Dmitriy Shutin, Oliver Bimber
Reciprocal Visibility. CoRR (2024)
Victor Scott Prieto Ruiz, Patrick Hinsen, Thomas Wiedemann, Constantin Christof, Dmitriy Shutin
Gas Source Localization Using physics Guided Neural Networks. CoRR (2024)
Dmitriy Shutin
Asymptotic Behavior of Super-Resolution Sparse Bayesian Learning. ICASSP (2024)
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 (2024)
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 (2024)
Ban-Sok Shin, Dmitriy Shutin
Joint Distributed Traveltime and Full Waveform Tomography for Enhanced Subsurface Imaging in Seismic Networks. IEEE Trans. Computational Imaging 10 (2024)
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)
Thomas Wiedemann, Patrick Hinsen, Victor Scott Prieto Ruiz, Dmitriy Shutin, Achim J. Lilienthal
Domain Knowledge Assisted Gas Tomography. ISOEN (2024)
Victor Scott Prieto Ruiz, Patrick Hinsen, Thomas Wiedemann, Dmitriy Shutin, Constantin Christof
Gas Source Localization Using Physics-Guided Neural Networks. ISOEN (2024)
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)
Dmitriy Shutin, Thomas Wiedemann, Patrick Hinsen
Distributed Superresolution Gas Source Localization Based on Poisson Equation. CAMSAP (2023)
Ban-Sok Shin, Luis Wientgens, Dmitriy Shutin
Parallel 2D Seismic Ray Tracing Using Cuda on a Jetson Nano. ICASSP (2023)
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) (2023)
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)
Patrick Hinsen, Thomas Wiedemann, Dmitriy Shutin
Potential Field Based Swarm Exploration of Processes Governed by Partial Differential Equations. ROBOT (2) (2022)
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)
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) (2022)
Ban-Sok Shin, Dmitriy Shutin
Distributed Traveltime Tomography Using Kernel-Based Regression in Seismic Networks. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Christoph Manss, Isabel Kuehner, Dmitriy Shutin
Experimental Validation of Entropy-Driven Swarm Exploration under Sparsity Constraints with Sparse Bayesian Learning. Entropy 24 (5) (2022)
Dmitriy Shutin, Ban-Sok Shin
Variational Bayesian Learning for Decentralized Blind Deconvolution of Seismic Signals Over Sensor Networks. IEEE Access 9 (2021)
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) (2021)
Ban-Sok Shin, Dmitriy Shutin
ADAPT-Then-Combine Full Waveform Inversion for Distributed Subsurface Imaging In Seismic Networks. ICASSP (2021)
Ban-Sok Shin, Dmitriy Shutin
Distributed Blind Deconvolution of Seismic Signals Under Sparsity Constraints in Sensor Networks. MLSP (2020)
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)
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) (2020)
Christoph Manss, Dmitriy Shutin, Geert Leus
Consensus Based Distributed Sparse Bayesian Learning by Fast Marginal Likelihood Maximization. IEEE Signal Process. Lett. 27 (2020)
Valentina Karolj, Alberto Viseras, Luis Merino, Dmitriy Shutin
An Integrated Strategy for Autonomous Exploration of Spatial Processes in Unknown Environments. Sensors 20 (13) (2020)
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) (2019)
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) (2019)
Christoph Manss, Dmitriy Shutin, Alberto Viseras, Geert Leus
Coordination Methods for Entropy-Based Multi-Agent Exploration Under Sparsity Constraints. CAMSAP (2019)
Alberto Viseras Ruiz, Thomas Wiedemann, Christoph Manss, Valentina Karolj, Dmitriy Shutin, Juan Marchal
Beehive-Inspired Information Gathering with a Swarm of Autonomous Drones. Sensors 19 (19) (2019)
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) (2019)
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) (2019)
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 (2019)
Thomas Wiedemann, Christoph Manss, Dmitriy Shutin
Multi-agent exploration of spatial dynamical processes under sparsity constraints. Auton. Agents Multi Agent Syst. 32 (1) (2018)
Alexandra Filip, Dmitriy Shutin
Ambiguity Function Analysis for OFDM-Based LDACS Passive Multistatic Radar. IEEE Trans. Aerosp. Electron. Syst. 54 (3) (2018)
Michael Walter, Dmitriy Shutin, Armin Dammann, David W. Matolak
Modeling of Highly Non-Stationary Low Altitude Aircraft-to-Aircraft Channels. MILCOM (2018)
Juan Marchal Gomez, Thomas Wiedemann, Dmitriy Shutin
Unmanned Aerial Vehicles in Wireless Sensor Networks: Automated Sensor Deployment and Mobile Sink Nodes. IAS (2018)
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) (2018)
Christoph Manss, Dmitriy Shutin, Geert Leus
Distributed Splitting-Over-Features Sparse Bayesian Learning with Alternating Direction Method of Multipliers. ICASSP (2018)
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) (2018)
Dmitriy Shutin, Boris Vexler
Sparse Bayesian learning with dictionary refinement for super-resolution through time. CAMSAP (2017)
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)
Christoph Manss, Thomas Wiedemann, Dmitriy Shutin
Entropy Driven Height Profile Estimation with Multiple UAVs under Sparsity Constraints. GLOBECOM Workshops (2017)
Alberto Viseras Ruiz, Dmitriy Shutin, Luis Merino
Online information gathering using sampling-based planners and GPs: An information theoretic approach. IROS (2017)
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) (2017)
Dmitriy Shutin, Siwei Zhang
Distributed sparsity-based bearing estimation with a swarm of cooperative agents. GlobalSIP (2016)
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) (2016)
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)
Dmitriy Shutin, Boris Vexler
A semismooth Newton method for adaptive distributed sparse linear regression. CAMSAP (2015)
Michael Walter, Thomas Zemen, Dmitriy Shutin
Empirical relationship between local scattering function and joint probability density function. PIMRC (2015)
Christoph Manss, Dmitriy Shutin, Alberto Viseras Ruiz, Thomas Wiedemann, Joachim Müller
Exploration under sparsity constraints. ECMR (2015)
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 (2015)
Nicolas Schneckenburger, Dmitriy Shutin
Sparse adaptive multipath tracking for low bandwidth ranging applications. ICASSP (2014)
Michael Schnell, Ulrich Epple, Dmitriy Shutin, Nicolas Schneckenburger
LDACS: future aeronautical communications for air-traffic management. IEEE Commun. Mag. 52 (5) (2014)
Thomas Buchgraber, Dmitriy Shutin
Distributed variational sparse Bayesian learning for sensor networks. MLSP (2012)
Dmitriy Shutin, Thomas Buchgraber
Trading approximation quality versus sparsity within incremental automatic relevance determination frameworks. MLSP (2012)
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) (2012)
Ulrich Epple, Dmitriy Shutin, Michael Schnell
Mitigation of Impulsive Frequency-Selective Interference in OFDM Based Systems. IEEE Wirel. Commun. Lett. 1 (5) (2012)
Niels Lovmand Pedersen, Carles Navarro i Manchon, Dmitriy Shutin, Bernard H. Fleury
Application of Bayesian hierarchical prior modeling to sparse channel estimation. ICC (2012)
Dmitriy Shutin, Sanjeev R. Kulkarni, H. Vincent Poor
Incremental Reformulated Automatic Relevance Determination. IEEE Trans. Signal Process. 60 (9) (2012)
Thomas Buchgraber, Dmitriy Shutin
Sparse Bayesian consensus-based distributed field estimation. ICSPCS (2011)
Thomas Buchgraber, Dmitriy Shutin, H. Vincent Poor
A sliding-window online fast variational sparse Bayesian learning algorithm. ICASSP (2011)
Dmitriy Shutin, Sanjeev R. Kulkarni, H. Vincent Poor
Stationary point variational Bayesian attribute-distributed sparse learning with ℓ1 sparsity constraints. CAMSAP (2011)
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) (2011)
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) (2011)
Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulkarni, H. Vincent Poor
Fast adaptive variational sparse Bayesian learning with automatic relevance determination. ICASSP (2011)
Christoph Zechner, Dmitriy Shutin
Bayesian learning of Echo State Networks with tunable filters and delay&sum readouts. ICASSP (2010)
Dmitriy Shutin, Manfred Mücke
Evidence-based custom-precision estimation with applications to solving nonlinear approximation problems. ICASSP (2010)
Dmitriy Shutin, Haipeng Zheng, Bernard H. Fleury, Sanjeev R. Kulkarni, H. Vincent Poor
Space-alternating attribute-distributed sparse learning. CIP (2010)
Dmitriy Shutin, Olga Zlobinskaya
Application of information-theoretic measures to quantitative analysis of immunofluorescent microscope imaging. Comput. Methods Programs Biomed. 97 (2) (2010)
Dmitriy Shutin, Gernot Kubin
Tracking and Prediction of Multipath Components in Wireless MIMO Channels. VTC Spring (2007)
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)
Dmitriy Shutin, Bernard H. Fleury
Application of the evidence procedure to the estimation of the number of paths in wireless channels. ICASSP (3) (2005)
Dmitriy Shutin, Gernot Kubin
Cluster analysis of wireless channel impulse responses with hidden Markov models. ICASSP (4) (2004)