Machine learning-based methods on SPAD-based LiDAR Data Processing

• Applicant: Professor Dr. Anton Grabmaier
• Subject Area: Electronic Semiconductors, Components and Circuits, Integrated Systems, Sensor Technology, Theoretical Electrical Engineering
• Term: since 2022
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 508688689

The main objective of this proposal is a self-adapted LiDAR (LightDetection and Ranging) system that provides comprehensive realtimeenvironment evaluation and robust measurements underchanging environments using Machine Learning methods. Theproposed system includes the LiDAR sensor front-end for dataacquisition and the Machine Learning-based light-weight dataprocessing approach for condition monitoring and distance inference.The complete system must also be implementable in an embeddedsystem without imposing additional resources and time for datatransmission.

• DFG Programme: Research Grants