Stefan Jesenski
Papers
1
Total Citations
26
H-Index
1
About
Stefan Jesenski is a leading researcher in the field of automated driving systems, with a primary focus on the functional safety and simulation-based validation of advanced driver assistance systems (ADAS). His work addresses the critical challenge of ensuring that increasingly complex automated vehicles—especially those leveraging vehicle-to-everything (V2X) communication—can be rigorously tested before deployment. His most-cited paper, "A Novel Simulation Framework for the Design and Testing of Advanced Driver Assistance Systems" (2019, 26 citations), introduces a groundbreaking simulation environment that enables the safe, efficient, and scalable evaluation of ADAS functionalities under diverse traffic scenarios. This framework has become a foundational tool for researchers and engineers seeking to bridge the gap between theoretical system design and real-world safety certification. Jesenski’s contributions are particularly significant in an era where the number and complexity of automated driving features are rising exponentially, and his work directly supports the industry’s goal of achieving reliable, fail-safe autonomous mobility. His research continues to influence both academic inquiry and practical engineering standards in intelligent transportation systems.
Research Focus
Key Achievements
Top Papers
- 1