Joachim Hafner

Joachim Hafner is an experienced professional in the field of autonomous driving, with a focus on developing driving functions through the definition of requirements, architecture diagrams, and validation processes.

He emphasizes the importance of utilizing raw sensor data and AI models for validating perception stacks and driving functions, foreseeing a growing role of Artificial Intelligence in enhancing the operational design domains for driving functions.

Joachim's expertise lies in validating driving functions using both open loop and closed loop methods like Re-Simulation and Simulation, ensuring tight integration within the system development process, and emphasizing the verification process for homologating cars.

Testing in the real world involves deploying autonomous driving functions to test cars, utilizing passive mode for comparison and quick updates of safety-critical functions over the air.

With a background in Bachelor of Engineering in Medical Engineering and various roles in renowned organizations like Microsoft Deutschland GmbH and T-Systems International GmbH, Joachim specializes in Azure, cloud computing, technology strategy, and enterprise architecture, among other areas.