Our AI Lab in Berlin offers the ideal framework and conditions for performing outstanding applied research in various AI topics such as Generative AI, Computer Vision, Explainable & Safe AI, Data for AI, Motion Planning for autonomous systems such as vehicles and robots, and Natural Language Processing. Our international team of AI experts, PhD candidates and Master students closely cooperate with experts from a wide range of corporate divisions to bridge the gap between research and application and to empower Continental through cutting-edge AI technologies. Located at the Merantix AI Campus in Berlin, we also benefit from contacts and cooperation with other AI companies and research institutions.
Continental AI Lab Berlin
Who we are
What we do
At our AI Lab in Berlin, we are currently working on four main projects.
BeIntelli
In the BeIntelli project, our AI Lab robotics team works on the Continental AMR (autonomous mobile robots) development prototype for operation in public spaces. The robot is operated by our AI-based software stack for perception, localization, and navigation as well as safety. It is the first fully automated AMR to have ever obtained a driving permission for public areas in Berlin, including the busy Kurfürstendamm and Otto-Suhr-Allee boulevards.
Just Better Data (jbD)
The Just better Data project’s aim is to create AI-driven methods and tools for gathering data efficiently and accurately. Instead of producing excessive amounts of data, the focus is on processing, evaluating, and selecting data directly on the recording vehicle's edge. AI algorithms are employed to identify missing data and fill them in with synthetic data, ensuring a fair and characteristic dataset.
nxtAIM
nxtAIM utilizes the massive potential of generative technologies to develop new approaches for better scalability, transferability, and traceability of autonomous driving functions that, so far, have been very limited in their scope of use. The focus is on developing generative methods that are complementary to the established discriminative methods of artificial intelligence.
KI Wissen
In KI Wissen projects, we developed and investigated methods for integrating existing knowledge into the data-driven AI functions of autonomous vehicles. The goal of the project is to create a comprehensive ecosystem for the integration of knowledge into the training and safeguarding of AI functions, thereby completely redefining the basis for training and validating of AI functions.
- Bouzidi, M.-K., Derajic, B., Goehring, D., Reichardt, J. Motion Planning under Uncertainty: Integrating Learning-Based Multi-Modal Predictors into Branch Model Predictive Control. In the International Conference on Intelligent Transportation Systems (ITSC-2024)
- Bouzidi, M.-K., Yao, Y., Goehring, D., Reichardt, J. Learning-Aided Warmstart of Model Predictive Control in Uncertain Fast-Changing Traffic. In the International Conference on Robotics and Automation (ICRA).
Our AI Experts and PhD candidates
At our AI Lab in Berlin, our AI experts, PhD candidates and Master students closely cooperate with experts from the entire organization. For insights into the innovative work being done by our experts and researchers, head to our team overview.
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