Dependable Autonomous Driving Lab

At the Dependable Autonomous Driving Lab of the DACS research group, we research, develop, and evaluate innovative methods, tools, and technologies for safe and dependable automated driving. Our research focuses on the development and safety assurance of conventional and AI-based driving functions, fault-tolerant system architectures, runtime monitoring, and continuous software and systems engineering.

The lab provides a practical research and development environment in which new approaches can be developed, integrated, and evaluated using simulations, digital models of vehicles and their environments, and real-world experimental platforms.

One of our central research and demonstration platforms is our autonomous research vehicle, CLAUSI – Clausthal Autonomous Shuttle with Dependable Artificial Intelligence. Based on a VW ID. Buzz, CLAUSI enables us to test innovative technologies under real-world conditions and support the entire development process, from software design and simulation to experimental validation on the actual vehicle.

The lab offers students, doctoral researchers, and research partners opportunities to contribute their own ideas, gain hands-on experience with emerging technologies, and actively participate in advancing automated driving.

Are you interested in automated driving or have an innovative idea?

Get in touch with us! Together, we can explore how to bring your ideas to life through our research activities, student projects, or bachelor's and master's theses.

Contact person for the lab:
E-Mail: Dr. Meng Zhang