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

19 citations · 42 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…

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…

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…

cs.CV2019

Some Aspects of Geometric Computer Vision for Analysing Dynamical Scenes focusing Automotive Applications

Volker Willert, Martin Buczko

This draft summarizes some basics about geometric computer vision needed to implement efficient computer vision algorithms for applications that use measurements from at least one…