collaborators

5 papers

cs.SE2026

A Comparison of ROS 2 and AUTOSAR Adaptive Platform Against Industry-Elicited Automotive Middleware Requirements

Lucas Hegerath, David Philipp Klüner, Philipp Pelcz +6

In software-defined vehicles, automotive middleware plays a fundamental role in enabling efficient communication, integration, and coordination among software components. This pape…

cs.NI2025

Towards Timing Isolation for Mixed-Criticality Communication in Software-Defined Vehicles

Lóránt Meszlényi, Julius Kahle, Dominik Püllen +3

As the automotive industry transitions toward centralized Linux-based architectures, ensuring the predictable execution of mixed-criticality applications becomes essential. However…

cs.MA2025

Simulation to Reality: Testbeds and Architectures for Connected and Automated Vehicles

David Klüner, Simon Schäfer, Lucas Hegerath +5

Ensuring the safe and efficient operation of CAVs relies heavily on the software framework used. A software framework needs to ensure real-time properties, reliable communication,…

cs.MA2025

Graph Coloring to Reduce Computation Time in Prioritized Planning

Patrick Scheffe, Julius Kahle, Bassam Alrifaee

Distributing computations among agents in large networks reduces computational effort in multi-agent path finding (MAPF). One distribution strategy is prioritized planning (PP). In…

cs.MA2025

Simultaneous Computation with Multiple Prioritizations in Multi-Agent Motion Planning

Patrick Scheffe, Julius Kahle, Bassam Alrifaee

Multi-agent path finding (MAPF) in large networks is computationally challenging. An approach for MAPF is prioritized planning (PP), in which agents plan sequentially according to…