Measurement data collection and analysis for isolated observation of individual effects in lidar detection lists


Simulation is key for development, testing and validation of automated driving functions. The sensor measurements to model are influenced by different cause effect chains. When designing experiments for characterization of such cause effect chains, the influence of unwanted effects has to be minimized.

Task Details:

  • Experiment design and measurement data collection with lidar sensors
  • Analysis of the achieved degree of isolation of individual cause effect chains


  • Interest in lidar sensors
  • Interest in experimental research
  • Structured way of working with high motivation and reliability