Dmitriy Shutin

88 papers A* 1A 1B 2C 1Misc 10Journal 41Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing UAV Search Under Occlusion Using Next Best View Planning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Sigrid Strand, Thomas Wiedemann, Bram Burczek, Dmitriy Shutin
2025	—	`conf`	Distributed Subsurface Imaging with Tikhonov and Total Variation Regularization for Seismic Networks. EUSIPCO Ban-Sok Shin, Dmitriy Shutin
2025	J	`jnl`	Enhancing UAV Search under Occlusion using Next Best View Planning. CoRR Sigrid Strand, Thomas Wiedemann, Bram Burczek, Dmitriy Shutin
2025	J	`jnl`	Mobile-to-Mobile Uncorrelated Scatter Channels. IEEE Trans. Wirel. Commun. Michael Walter, Martin Schmidhammer, Miguel A. Bellido-Manganell, Thomas Wiedemann, Dmitriy Shutin
2025	—	`conf`	Multi-Agent Adaptive Super-Resolution Sparse Source Localization For Advection-Diffusion Processes. CAMSAP Dmitriy Shutin, Victor Scott Prieto Ruiz, Patrick Hinsen, Thomas Wiedemann
2025	J	`jnl`	Physics-informed robotic airflow exploration and mapping with a swarm of mobile robots. Int. J. Robotics Res. Thomas Wiedemann, Martina Scheffler, Dmitriy Shutin, Achim J. Lilienthal
2025	—	`conf`	Sparse Bayesian Learning for Decentralized 2D Smoke Source Localization. ICIPW Dmitriy Shutin, Victor Scott Prieto Ruiz, Patrick Hinsen
2024	J	`jnl`	An Autonomous Drone Swarm for Detecting and Tracking Anomalies among Dense Vegetation. CoRR Rakesh John Amala Arokia Nathan, Sigrid Strand, Daniel Mehrwald, Dmitriy Shutin, Oliver Bimber
2024	Misc	`conf`	Asymptotic Behavior of Super-Resolution Sparse Bayesian Learning. ICASSP Dmitriy Shutin
2024	—	`conf`	Cramer-Rao Lower Bound for a Gas Source Localization Based on Poisson's Equation. SiPS Dmitriy Shutin, Victor Scott Prieto Ruiz, Thomas Wiedemann, Patrick Hinsen, Armin Dammann
2024	J	`jnl`	Deep Reinforcement Multi-agent Learning framework for Information Gathering with Local Gaussian Processes for Water Monitoring. CoRR Samuel Yanes Luis, Dmitriy Shutin, Juan Marchal Gómez, Daniel Gutiérrez-Reina, Sergio L. Toral Marín
2024	J	`jnl`	Deep Reinforcement Multiagent Learning Framework for Information Gathering with Local Gaussian Processes for Water Monitoring. Adv. Intell. Syst. Samuel Yanes Luis, Dmitriy Shutin, Juan Marchal Gómez, Daniel Gutiérrez-Reina, Sergio L. Toral Marín
2024	—	`conf`	Domain Knowledge Assisted Gas Tomography. ISOEN Thomas Wiedemann, Patrick Hinsen, Victor Scott Prieto Ruiz, Dmitriy Shutin, Achim J. Lilienthal
2024	—	`conf`	Experimental Study of Gas Propagation: Parameter Identification and Analysis in a Wind Tunnel. ISOEN Patrick Hinsen, Thomas Wiedemann, Victor Scott Prieto Ruiz, Dmitriy Shutin, Achim J. Lilienthal
2024	—	`conf`	Gas Source Localization Using Physics-Guided Neural Networks. ISOEN Victor Scott Prieto Ruiz, Patrick Hinsen, Thomas Wiedemann, Dmitriy Shutin, Constantin Christof
2024	J	`jnl`	Gas Source Localization Using physics Guided Neural Networks. CoRR Victor Scott Prieto Ruiz, Patrick Hinsen, Thomas Wiedemann, Constantin Christof, Dmitriy Shutin
2024	—	`conf`	Imaging on the Edge: GPU-Accelerated Traveltime Tomography on a Jetson Nano. EUSIPCO Ban-Sok Shin, Luis Wientgens, Dmitriy Shutin
2024	J	`jnl`	Joint Distributed Traveltime and Full Waveform Tomography for Enhanced Subsurface Imaging in Seismic Networks. IEEE Trans. Computational Imaging Ban-Sok Shin, Dmitriy Shutin
2024	Misc	`conf`	Multi-Agent 3D Seismic Exploration Using Adapt-then-Combine Full Waveform Inversion in a hardware-in-the-loop System. ICASSP Ban-Sok Shin, Dhruv Patel, Luis Wientgens, Dmitriy Shutin, Armin Dekorsy
2024	—	`conf`	Physics-Guided Neural Networks for Distributed Sparse Gas Source Localization Using Poisson's Equation and Green's Function Method. EUSIPCO Victor Scott Prieto Ruiz, Dmitriy Shutin, Thomas Wiedemann, Patrick Hinsen
2024	J	`jnl`	Reciprocal Visibility for Guided Occlusion Removal With Drones. IEEE Geosci. Remote. Sens. Lett. Rakesh John Amala Arokia Nathan, Sigrid Strand, Dmitriy Shutin, Oliver Bimber
2024	J	`jnl`	Reciprocal Visibility. CoRR Rakesh John Amala Arokia Nathan, Sigrid Strand, Dmitriy Shutin, Oliver Bimber
2024	—	`conf`	Sampling and Exploration Strategies for Multi-Agent Seismic Imaging Using 3D Full Waveform Inversion. SiPS Ban-Sok Shin, Dmitriy Shutin
2023	—	`conf`	Distributed Superresolution Gas Source Localization Based on Poisson Equation. CAMSAP Dmitriy Shutin, Thomas Wiedemann, Patrick Hinsen
2023	J	`jnl`	Exploration and Gas Source Localization in Advection-Diffusion Processes with Potential-Field-Controlled Robotic Swarms. Sensors Patrick Hinsen, Thomas Wiedemann, Dmitriy Shutin, Achim J. Lilienthal
2023	Misc	`conf`	Parallel 2D Seismic Ray Tracing Using Cuda on a Jetson Nano. ICASSP Ban-Sok Shin, Luis Wientgens, Dmitriy Shutin
2022	J	`jnl`	Distributed Traveltime Tomography Using Kernel-Based Regression in Seismic Networks. IEEE Geosci. Remote. Sens. Lett. Ban-Sok Shin, Dmitriy Shutin
2022	J	`jnl`	Experimental Validation of Entropy-Driven Swarm Exploration under Sparsity Constraints with Sparse Bayesian Learning. Entropy Christoph Manss, Isabel Kuehner, Dmitriy Shutin
2022	—	`conf`	Gas Source Localization Based on Binary Sensing with a UAV. ISOEN Thomas Wiedemann, Marius Schaab, Juan Marchal Gomez, Dmitriy Shutin, Monika Scheibe, Achim J. Lilienthal
2022	J	`jnl`	Near-Surface Seismic Measurements in Gravel Pit, over Highway Tunnel and Underground Tubes with Ground Truth Information as an Open Data Set. Sensors Ban-Sok Shin, Luis Wientgens, Marius Schaab, Dmitriy Shutin
2022	B	`conf`	OTE: Optimal Trustworthy EdgeAI solutions for smart cities. CCGRID Vasileios Mygdalis, Lorenzo Carnevale, José Ramiro Martinez de Dios, Dmitriy Shutin, Giovanni Aiello, Massimo Villari, Ioannis Pitas
2022	—	`conf`	Potential Field Based Swarm Exploration of Processes Governed by Partial Differential Equations. ROBOT (2) Patrick Hinsen, Thomas Wiedemann, Dmitriy Shutin
2021	Misc	`conf`	ADAPT-Then-Combine Full Waveform Inversion for Distributed Subsurface Imaging In Seismic Networks. ICASSP Ban-Sok Shin, Dmitriy Shutin
2021	J	`jnl`	Long Coherent Integration in Passive Radar Systems Using Super-Resolution Sparse Bayesian Learning. IEEE Trans. Aerosp. Electron. Syst. Alexandra Filip-Dhaubhadel, Dmitriy Shutin
2021	J	`jnl`	Variational Bayesian Learning for Decentralized Blind Deconvolution of Seismic Signals Over Sensor Networks. IEEE Access Dmitriy Shutin, Ban-Sok Shin
2020	J	`jnl`	An Integrated Strategy for Autonomous Exploration of Spatial Processes in Unknown Environments. Sensors Valentina Karolj, Alberto Viseras, Luis Merino, Dmitriy Shutin
2020	J	`jnl`	Consensus Based Distributed Sparse Bayesian Learning by Fast Marginal Likelihood Maximization. IEEE Signal Process. Lett. Christoph Manss, Dmitriy Shutin, Geert Leus
2020	—	`conf`	Diffusion Field Estimation Using Decentralized Kernel Kalman Filter with Parameter Learning Over Hierarchical Sensor Networks. MLSP Shengdi Wang, Ban-Sok Shin, Dmitriy Shutin, Armin Dekorsy
2020	—	`conf`	Distributed Blind Deconvolution of Seismic Signals Under Sparsity Constraints in Sensor Networks. MLSP Ban-Sok Shin, Dmitriy Shutin
2020	J	`jnl`	Geometric Analysis of the Doppler Frequency for General Non-Stationary 3D Mobile-to-Mobile Channels Based on Prolate Spheroidal Coordinates. IEEE Trans. Veh. Technol. Michael Walter, Dmitriy Shutin, Martin Schmidhammer, David W. Matolak, Alenka G. Zajic
2019	J	`jnl`	Analysis of Model Mismatch Effects for a Model-Based Gas Source Localization Strategy Incorporating Advection Knowledge. Sensors Thomas Wiedemann, Achim J. Lilienthal, Dmitriy Shutin
2019	J	`jnl`	Analysis of Non-Stationary 3D Air-to-Air Channels Using the Theory of Algebraic Curves. IEEE Trans. Wirel. Commun. Michael Walter, Dmitriy Shutin, David W. Matolak, Nicolas Schneckenburger, Thomas Wiedemann, Armin Dammann
2019	J	`jnl`	Beehive-Inspired Information Gathering with a Swarm of Autonomous Drones. Sensors Alberto Viseras Ruiz, Thomas Wiedemann, Christoph Manss, Valentina Karolj, Dmitriy Shutin, Juan Marchal Gomez
2019	—	`conf`	Coordination Methods for Entropy-Based Multi-Agent Exploration Under Sparsity Constraints. CAMSAP Christoph Manss, Dmitriy Shutin, Alberto Viseras, Geert Leus
2019	J	`jnl`	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. Thomas Wiedemann, Dmitriy Shutin, Achim J. Lilienthal
2019	J	`jnl`	Robotic Active Information Gathering for Spatial Field Reconstruction with Rapidly-Exploring Random Trees and Online Learning of Gaussian Processes. Sensors Alberto Viseras Ruiz, Dmitriy Shutin, Luis Merino
2019	J	`jnl`	Spherical Wave Positioning Based on Curvature of Arrival by an Antenna Array. IEEE Wirel. Commun. Lett. Siwei Zhang, Thomas Jost, Robert Pöhlmann, Armin Dammann, Dmitriy Shutin, Peter Adam Hoeher
2018	J	`jnl`	Algebraic Analysis of the Poles in the Doppler Spectrum for Vehicle-to-Vehicle Channels. IEEE Wirel. Commun. Lett. Michael Walter, Dmitriy Shutin, Armin Dammann
2018	J	`jnl`	Ambiguity Function Analysis for OFDM-Based LDACS Passive Multistatic Radar. IEEE Trans. Aerosp. Electron. Syst. Alexandra Filip, Dmitriy Shutin
2018	Misc	`conf`	Distributed Splitting-Over-Features Sparse Bayesian Learning with Alternating Direction Method of Multipliers. ICASSP Christoph Manss, Dmitriy Shutin, Geert Leus
2018	—	`conf`	Modeling of Highly Non-Stationary Low Altitude Aircraft-to-Aircraft Channels. MILCOM Michael Walter, Dmitriy Shutin, Armin Dammann, David W. Matolak
2018	J	`jnl`	Multi-agent exploration of spatial dynamical processes under sparsity constraints. Auton. Agents Multi Agent Syst. Thomas Wiedemann, Christoph Manss, Dmitriy Shutin
2018	J	`jnl`	Reflector Localization for Geometrical Modeling the Air-Ground Channel. IEEE Trans. Veh. Technol. Nicolas Schneckenburger, Thomas Jost, Dmitriy Shutin, Michael Walter, Giovanni Del Galdo, Uwe-Carsten Fiebig
2018	C	`conf`	Unmanned Aerial Vehicles in Wireless Sensor Networks: Automated Sensor Deployment and Mobile Sink Nodes. IAS Juan Marchal Gomez, Thomas Wiedemann, Dmitriy Shutin
2017	—	`conf`	Entropy Driven Height Profile Estimation with Multiple UAVs under Sparsity Constraints. GLOBECOM Workshops Christoph Manss, Thomas Wiedemann, Dmitriy Shutin
2017	A	`conf`	Online information gathering using sampling-based planners and GPs: An information theoretic approach. IROS Alberto Viseras Ruiz, Dmitriy Shutin, Luis Merino
2017	—	`conf`	Probabilistic modeling of gas diffusion with partial differential equations for multi-robot exploration and gas source localization. ECMR Thomas Wiedemann, Christoph Manss, Dmitriy Shutin, Achim J. Lilienthal, Valentina Karolj, Alberto Viseras Ruiz
2017	—	`conf`	Sparse Bayesian learning with dictionary refinement for super-resolution through time. CAMSAP Dmitriy Shutin, Boris Vexler
2017	J	`jnl`	Time-Variant Doppler PDFs and Characteristic Functions for the Vehicle-to-Vehicle Channel. IEEE Trans. Veh. Technol. Michael Walter, Dmitriy Shutin, Armin Dammann
2016	A*	`conf`	Decentralized multi-agent exploration with online-learning of Gaussian processes. ICRA Alberto Viseras Ruiz, Thomas Wiedemann, Christoph Manss, Lukas Magel, Joachim Müller, Dmitriy Shutin, Luis Merino
2016	—	`conf`	Distributed sparsity-based bearing estimation with a swarm of cooperative agents. GlobalSIP Dmitriy Shutin, Siwei Zhang
2016	J	`jnl`	Measurement of the l-band air-to-ground channel for positioning applications. IEEE Trans. Aerosp. Electron. Syst. Nicolas Schneckenburger, Thomas Jost, Dmitriy Shutin, Michael Walter, Thanawat Thiasiriphet, Michael Schnell, Uwe-Carsten Fiebig
2015	—	`conf`	A semismooth Newton method for adaptive distributed sparse linear regression. CAMSAP Dmitriy Shutin, Boris Vexler
2015	B	`conf`	Empirical relationship between local scattering function and joint probability density function. PIMRC Michael Walter, Thomas Zemen, Dmitriy Shutin
2015	—	`conf`	Exploration under sparsity constraints. ECMR Christoph Manss, Dmitriy Shutin, Alberto Viseras Ruiz, Thomas Wiedemann, Joachim Müller
2015	J	`jnl`	Sparse estimation using Bayesian hierarchical prior modeling for real and complex linear models. Signal Process. Niels Lovmand Pedersen, Carles Navarro i Manchon, Mihai-Alin Badiu, Dmitriy Shutin, Bernard Henri Fleury
2014	J	`jnl`	LDACS: future aeronautical communications for air-traffic management. IEEE Commun. Mag. Michael Schnell, Ulrich Epple, Dmitriy Shutin, Nicolas Schneckenburger
2014	Misc	`conf`	Sparse adaptive multipath tracking for low bandwidth ranging applications. ICASSP Nicolas Schneckenburger, Dmitriy Shutin
2012	—	`conf`	Application of Bayesian hierarchical prior modeling to sparse channel estimation. ICC Niels Lovmand Pedersen, Carles Navarro i Manchon, Dmitriy Shutin, Bernard H. Fleury
2012	—	`conf`	Distributed variational sparse Bayesian learning for sensor networks. MLSP Thomas Buchgraber, Dmitriy Shutin
2012	J	`jnl`	Incremental Reformulated Automatic Relevance Determination. IEEE Trans. Signal Process. Dmitriy Shutin, Sanjeev R. Kulkarni, H. Vincent Poor
2012	J	`jnl`	Mitigation of Impulsive Frequency-Selective Interference in OFDM Based Systems. IEEE Wirel. Commun. Lett. Ulrich Epple, Dmitriy Shutin, Michael Schnell
2012	J	`jnl`	Regularized Variational Bayesian Learning of Echo State Networks with Delay&Sum Readout. Neural Comput. Dmitriy Shutin, Christoph Zechner, Sanjeev R. Kulkarni, H. Vincent Poor
2012	—	`conf`	Trading approximation quality versus sparsity within incremental automatic relevance determination frameworks. MLSP Dmitriy Shutin, Thomas Buchgraber
2011	Misc	`conf`	A sliding-window online fast variational sparse Bayesian learning algorithm. ICASSP Thomas Buchgraber, Dmitriy Shutin, H. Vincent Poor
2011	J	`jnl`	Fast Variational Sparse Bayesian Learning With Automatic Relevance Determination for Superimposed Signals. IEEE Trans. Signal Process. Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulkarni, H. Vincent Poor
2011	Misc	`conf`	Fast adaptive variational sparse Bayesian learning with automatic relevance determination. ICASSP Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulkarni, H. Vincent Poor
2011	—	`conf`	Sparse Bayesian consensus-based distributed field estimation. ICSPCS Thomas Buchgraber, Dmitriy Shutin
2011	J	`jnl`	Sparse Variational Bayesian SAGE Algorithm With Application to the Estimation of Multipath Wireless Channels. IEEE Trans. Signal Process. Dmitriy Shutin, Bernard H. Fleury
2011	—	`conf`	Stationary point variational Bayesian attribute-distributed sparse learning with ℓ1 sparsity constraints. CAMSAP Dmitriy Shutin, Sanjeev R. Kulkarni, H. Vincent Poor
2010	J	`jnl`	Application of information-theoretic measures to quantitative analysis of immunofluorescent microscope imaging. Comput. Methods Programs Biomed. Dmitriy Shutin, Olga Zlobinskaya
2010	Misc	`conf`	Bayesian learning of Echo State Networks with tunable filters and delay&sum readouts. ICASSP Christoph Zechner, Dmitriy Shutin
2010	Misc	`conf`	Evidence-based custom-precision estimation with applications to solving nonlinear approximation problems. ICASSP Dmitriy Shutin, Manfred Mücke
2010	—	`conf`	Space-alternating attribute-distributed sparse learning. CIP Dmitriy Shutin, Haipeng Zheng, Bernard H. Fleury, Sanjeev R. Kulkarni, H. Vincent Poor
2007	J	`jnl`	Application of the Evidence Procedure to the Estimation of Wireless Channels. EURASIP J. Adv. Signal Process. Dmitriy Shutin, Gernot Kubin, Bernard H. Fleury
2007	—	`conf`	Tracking and Prediction of Multipath Components in Wireless MIMO Channels. VTC Spring Dmitriy Shutin, Gernot Kubin
2005	—	`conf`	Application of the evidence procedure to the estimation of the number of paths in wireless channels. ICASSP (3) Dmitriy Shutin, Bernard H. Fleury
2004	—	`conf`	Cluster analysis of wireless channel impulse responses with hidden Markov models. ICASSP (4) Dmitriy Shutin, Gernot Kubin