Daniel Göhring

Prof. Daniel Göhring is a professor in the Department of Computer Science at the Free University of Berlin, leading the Autonomous Cars Lab and part of the Dahlem Center for Machine Learning and Robotics. His research emphasizes robotic perception, object tracking, and real-time planning under computational constraints, with a focus on autonomous vehicles and cooperative systems.

Education:

• Bachelor's/Master's in Robotics (exact program unspecified)
• PhD in Computer Science at Humboldt University Berlin
• Postdoctoral Research at International Computer Science Institute (ICSI), Berkeley, CA

Research Interests: Daniel's work integrates machine learning and sensor technologies like LiDAR and cameras to address challenges in autonomous driving. Key areas include SLAM algorithms, trajectory prediction, cooperative perception, and real-time systems. He explores how limited sensor data and computational resources can be optimized for dynamic traffic environments.

Grants and Projects:

• Leader of the Autonomous Cars Lab
• Involved in EU-funded projects such as H2020 HIVEOPOLIS and KIS-M (AI-based mobility systems)
• Past projects include CRTX (recycling optimization), Open.Make (open hardware), RoboFish (biological swarm analysis), and SAFARI

Awards:

• Best Poster Award at IAAS Workshop 2024
• Best Paper Award at ICAIR-CACRE 2019

Teaching: He has taught courses such as Image Processing, Robotics, and Advanced Robotics. Recent semesters include modules on self-supervised learning, autonomous vehicle research, and continuous learning software projects.

Labs and Teams: Daniel heads the Autonomous Cars Lab and collaborates with the BioRobotics Lab, focusing on interdisciplinary projects like 'Robots Communicating with Fish' and 'Open Hardware for FAIR Robotics.'