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filtering approach and a pointcloud matching algorithm. The filtering approach should utilise camera-based classifications, from a sperate module, in the pointcloud data to distinguish different object
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unappealing or suboptimal coverage results. In this thesis, you will first analyze the variety of expected environments and the specific requirements placed on the algorithm. From this, you will evaluate
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quantification. Your task in detail: Design a data pipeline to extract and preprocess activity-relevant features from monitored building power consumption data Develop a classification algorithm (e.g
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experience in algorithm development Enthusiasm for mobile robotics Excellent German or English language skills What we offer Cutting-edge technology in mobile outdoor robotics Hands-on work with our
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pipeline. Therefore, you will investigate different types of predictions like intent prediction, reachability approaches or Bayesian filtering and develop a robust prediction algorithm. These dynamic