Optimal sequence-based LQG control over TCP-like networks subject to random transmission delays and packet losses. - Jörg Fischer 001; Achim Hekler; Maxim Dolgov; Uwe D. Hanebeck (ACC, 2013)

On stability of sequence-based LQG control. - Jörg Fischer 001; Maxim Dolgov; Uwe D. Hanebeck (CDC, 2013)

State estimation for Stochastic Hybrid Systems based on deterministic Dirac mixture approximation. - Maxim Dolgov; Gerhard Kurz; Uwe D. Hanebeck (ACC, 2014)

Sequence-based LQG control over stochastic networks with linear integral constraints. - Maxim Dolgov; Jörg Fischer 001; Uwe D. Hanebeck (CDC, 2014)

Bivariate angular estimation under consideration of dependencies using directional statistics. - Gerhard Kurz; Igor Gilitschenski; Maxim Dolgov; Uwe D. Hanebeck (CDC, 2014)

Optimization-based Control for Networked Control Systems. - Maxim Dolgov (Joint Workshop of the German Research Training Groups in Computer Science, 2014)

Infinite-horizon sequence-based networked control without acknowledgments. - Maxim Dolgov; Jörg Fischer 001; Uwe D. Hanebeck (ACC, 2015)

Nonlinear stochastic model predictive control in the circular domain. - Gerhard Kurz; Maxim Dolgov; Uwe D. Hanebeck (ACC, 2015)

Chance-constrained Model Predictive Control based on box approximations. - Maxim Dolgov; Gerhard Kurz; Uwe D. Hanebeck (CDC, 2015)

Adaptive lower bounds for Gaussian measures of polytopes. - Uwe D. Hanebeck; Maxim Dolgov (FUSION, 2015)

Infinite-horizon Linear Optimal Control of Markov Jump Systems without Mode Observation via State Feedback. - Maxim Dolgov; Uwe D. Hanebeck (CoRR, 2015)

Finite-horizon dynamic compensation of Markov Jump Linear Systems without mode observation. - Maxim Dolgov; Gerhard Kurz; Uwe D. Hanebeck (CDC, 2016)

Dynamic compensation of Markov jump linear systems without mode observation. - Maxim Dolgov; Christof Chlebek; Uwe D. Hanebeck (ECC, 2016)

Closed-form bias reduction for shape estimation with polygon models. - Florian Faion; Maxim Dolgov; Antonio Zea 001; Uwe D. Hanebeck (FUSION, 2016)

Progressive closed-loop chance-constrained control. - Gerhard Kurz; Maxim Dolgov; Uwe D. Hanebeck (FUSION, 2016)

Static Output-Feedback Control of Markov Jump Linear Systems Without Mode Observation. - Maxim Dolgov; Uwe D. Hanebeck (IEEE Trans. Autom. Control., 2017)

Stochastic Optimal Control using Local Sample-based Value Function Approximation. - Maxim Dolgov; Gerhard Kurz; Daniela Grimm; Florian Rosenthal; Uwe D. Hanebeck (ACC, 2018)

From Footprints to Beliefprints: Motion Planning under Uncertainty for Maneuvering Automated Vehicles in Dense Scenarios. - Holger Banzhaf; Maxim Dolgov; Jan Erik Stellet; J. Marius Zöllner (ITSC, 2018)

WiFi/PDR Integrated System for 3D Indoor Localization. - Mu Zhou; Maxim Dolgov; Yiyao Liu; Yanmeng Wang (MLICOM, 2018)

A Distance-based Framework for Gaussian Processes over Probability Distributions. - Maxim Dolgov; Uwe D. Hanebeck (CoRR, 2018)

Approximate Stochastic Optimal Control of Smooth Nonlinear Systems and Piecewise Linear Systems - Maxim Dolgov (2018)

Cooperative Automated Driving Use Cases for 5G V2X Communication. - Ignacio Llatser; Thomas Michalke; Maxim Dolgov; Florian Wildschütte; Hendrik Fuchs (5G World Forum, 2019)

Stochastic Optimal Control Using Gaussian Process Regression over Probability Distributions. - Jana Mayer; Maxim Dolgov; Tobias Stickling; Selim Özgen; Florian Rosenthal; Uwe D. Hanebeck (ACC, 2019)

Sequence-Based Receding Horizon Control over Networks With Delays and Data Losses. - Florian Rosenthal; Maxim Dolgov; Uwe D. Hanebeck (ACC, 2019)

WIFI/PDR indoor integrated positioning system in a multi-floor environment. - Mu Zhou; Maxim Dolgov; Yiyao Liu; Yanmeng Wang (EAI Endorsed Trans. Cogn. Commun., 2019)

Mono-Video Deep Adaptive Cruise Control in the Image Space via Behavior Cloning. - Maxim Dolgov; Thomas Michalke (ITSC, 2020)

Where can I drive? Deep Ego-Corridor Estimation for Robust Automated Driving. - Thomas Michalke; Colin Wüst; Di Feng; Claudius Gläser; Maxim Dolgov; Fabian Timm (CoRR, 2020)

Where can I drive? A System Approach: Deep Ego Corridor Estimation for Robust Automated Driving. - Thomas Michalke; Colin Wüst; Di Feng; Maxim Dolgov; Claudius Gläser; Fabian Timm (ITSC, 2021)

Self-Supervised Action-Space Prediction for Automated Driving. - Faris Janjos; Maxim Dolgov; J. Marius Zöllner (IV, 2021)

SAN: Scene Anchor Networks for Joint Action-Space Prediction. - Faris Janjos; Maxim Dolgov; Muhamed Kuric; Yinzhe Shen; J. Marius Zöllner (IV, 2022)

StarNet: Joint Action-Space Prediction with Star Graphs and Implicit Global-Frame Self-Attention. - Faris Janjos; Maxim Dolgov; J. Marius Zöllner (IV, 2022)

Unscented Autoencoder. - Faris Janjos; Lars Rosenbaum; Maxim Dolgov; J. Marius Zoellner (ICML, 2023)

Bridging the Gap Between Multi-Step and One-Shot Trajectory Prediction via Self-Supervision. - Faris Janjos; Max Keller; Maxim Dolgov; J. Marius Zöllner (IV, 2023)

Scaling Planning for Automated Driving using Simplistic Synthetic Data. - Martin Stoll; Markus Mazzola; Maxim Dolgov; Jürgen Mathes; Nicolas Möser (CoRR, 2023)

Conditional Unscented Autoencoders for Trajectory Prediction. - Faris Janjos; Marcel Hallgarten; Anthony Knittel; Maxim Dolgov; Andreas Zell; J. Marius Zöllner (ECCV Workshops (7), 2024)