activity
20172023
most citedOnline and Predictive Warning System for Forced Lane Changes using Risk Maps

19 citations · 45 across the 11 of their papers we have counts for

collaborators

12 papers

cs.RO2023★ 19 cited

Online and Predictive Warning System for Forced Lane Changes using Risk Maps

Tim Puphal, Benedict Flade, Malte Probst +3

The survival analysis of driving trajectories allows for holistic evaluations of car-related risks caused by collisions or curvy roads. This analysis has advantages over common Tim…

eess.SY2022★ 2 cited

Projected gradient-tracking in multi-cluster games and its application to power management

Jan Zimmermann, Tatiana Tatarenko, Volker Willert +1

We are concerned with a distributed approach to solve multi-cluster games arising in multi-agent systems. In such games, agents are separated into distinct clusters. The agents bel…

cs.RO2021

Theory of Mind Based Assistive Communication in Complex Human Robot Cooperation

Moritz C. Buehler, Jürgen Adamy, Thomas H. Weisswange

When cooperating with a human, a robot should not only care about its environment and task but also develop an understanding of the partner's reasoning. To support its human partne…

cs.GT2021

Gradient Play in -Cluster Games with Zero-Order Information

Tatiana Tatarenko, Jan Zimmermann, Jürgen Adamy

We study a distributed approach for seeking a Nash equilibrium in -cluster games with strictly monotone mappings. Each player within each cluster has access to the current value…

eess.SY2021★ 6 cited

Gradient-Tracking over Directed Graphs for solving Leaderless Multi-Cluster Games

Jan Zimmermann, Tatiana Tatarenko, Volker Willert +1

We are concerned with finding Nash Equilibria in agent-based multi-cluster games, where agents are separated into distinct clusters. While the agents inside each cluster collaborat…

cs.CV2020

Improved Multi-Source Domain Adaptation by Preservation of Factors

Sebastian Schrom, Stephan Hasler, Jürgen Adamy

Domain Adaptation (DA) is a highly relevant research topic when it comes to image classification with deep neural networks. Combining multiple source domains in a sophisticated way…

eess.SY2020

Revisiting Consensus-Based Energy-Management in Smart Grid with Transmission Losses and Directed Communication

Jan Zimmermann, Tatiana Tatarenko, Volker Willert +1

We discovered a deficiency in Algorithm 1 and Theorem 3 of [1]. The algorithm called CEMA aims to solve an energy management problem distributively. However, by means of a counter…

eess.SY2020★ 3 cited

Projected Push-Sum Gradient Descent-Ascent for Convex Optimizationwith Application to Economic Dispatch Problems

Jan Zimmermann, Tatiana Tatarenko, Volker Willert +1

We propose a novel algorithm for solving convex, constrained and distributed optimization problems defined on multi-agent-networks, where each agent has exclusive access to a part…

eess.SP2019

Penalized Push-Sum Algorithm for Constrained Distributed Optimization with Application to Energy Management in Smart Grid

Tatiana Tatarenko, Jan Zimmermann, Volker Willert andJürgen Adamy

We study distributed convex constrained optimization on a time-varying multi-agent network. Each agent has access to its own local cost function, its local constraints, and its ins…

cs.LG2019★ 9 cited

Generating Compact Geometric Track-Maps for Train Positioning Applications

Hanno Winter, Stefan Luthardt, Volker Willert +1

In this paper, we present a method to generate compact geometric track-maps for train-borne localization applications. Therefore, we first give a brief overview on the purpose of t…

eess.SY2018★ 3 cited

Optimal Output Regulation for Square, Over-Actuated and Under-Actuated Linear Systems

Sebastian Bernhard, Jürgen Adamy

This paper considers two different problems in trajectory tracking control for linear systems. First, if the control is not unique which is most input energy efficient. Second, if…

eess.SY2017★ 3 cited

Optimal Stationary Synchronization of Heterogeneous Linear Multi-Agent Systems

Sebastian Bernhard, Saman Khodaverdian, Jürgen Adamy

In this paper, we address the output synchronization of heterogeneous linear networks. In the literature, all agents are typically required to synchronize exactly to a common traje…