Jonas Peeck
Papers
1
Total Citations
2
H-Index
1
About
Jonas Peeck is a researcher at the forefront of real-time systems for autonomous vehicles, with a primary focus on the predictability and performance of robotic middleware. His work centers on ensuring the reliability of time-sensitive event chains in highly-automated driving, where perception, decision, and control functions must execute within strict latency bounds. Peeck’s most-cited paper, "Online latency monitoring of time-sensitive event chains in ROS2" (2021), addresses a critical challenge in data-centric middleware like ROS2, which underpins modern autonomous driving stacks such as Autoware.Auto. By developing methods to monitor and analyze end-to-end latency in real time, he enables engineers to detect timing violations that could compromise safety. Although his citation count is still growing—with 2 citations for this seminal work—Peeck’s contributions are foundational for the practical deployment of service-oriented architectures in safety-critical systems. His research bridges the gap between theoretical real-time scheduling and applied robotics, offering tools that are essential for validating the temporal correctness of autonomous driving pipelines. For students and researchers, Peeck’s work exemplifies how rigorous timing analysis can make autonomous systems both faster and safer.
Research Focus
Key Achievements
Top Papers
- 1Online latency monitoring of time-sensitive event chains in ROS22 citations · 2021