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Project description

  • Miniaturization of a new type of LiDAR sensor from Continental
  • Construction of a digital twin for measurement data validation and training data generation using multi-domain simulation
  • Development of a real-time hybrid model (Physics of Failure and Data Driven) for condition monitoring, remaining life prediction and sensor recalibration in the field

 

Project information

Tasks THI
  • Construction of an ARL test system for the execution of life cycle tests
  • Measurement data analysis using methods of statistics and machine learning
  • Fusion of reference sensor data (camera, radar, ...) for sensor recalibration
Project partner Continental, Fraunhofer IZM, Ancud IT, Technische Universität Chemnitz, mts Consulting & Engineering GmbH, Federal Ministry of Education and Research 
Project sponsor VDI/VDE, Federal Ministry of Education and Research
Project term 10/01/2019 until 09/30/2022

 

Contact

  1. Prof. Dr. Gordon Elger

    Head of Fraunhofer Application Center "Connected Mobility and Infrastructure"; Research Professor Assembly and Connection Technology

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