RobustSense's key goal is to deliver a robust and reliable environment sensing and situation prediction for ADAS and automated driving. Major improvements of the hardware for environment sensing allow for an increase of robustness during harsh weather conditions.

By incorporating probabilistic information throughout all software modules, the overall sensor platform will provide a higher reliability for already existing sensors combinations as well as novel ones. Sensor uncertainties and conflicting information will be reflected in the environment model and will thus affect the results of situation understanding and prediction modules as well as behaviour and trajectory estimation. For each module, closely connected assessment nodes are developed to provide an estimation of the current performance of the sensor platform. A common system assessment node combines the performance assessment and will provide the available performance level of the full system. In cases of decreasing performance due to weather conditions or sensor malfunctions, the sensor platform is then able to decide for functional degradation.

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Dr-Ing. Florian Kuhnt

Senior Expert



Dr.-Ing. Florian Kuhnt ist Senior Expert für Automatisiertes Fahren und Situationsverstehen. 2020 promovierte er am Karlsruher Institut für Technologie (KIT) zum Thema „Holistic Temporal Situation Interpretation for Traffic Participant Prediction“. Er arbeitet als Projektleiter und wissenschaftlicher Koordinator in zahlreichen deutschen und internationalen Forschungsprojekten sowie Industriekooperationen, unter anderem:



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