BMVI Projekt zum hochautomatisierten und vernetzten Fahren
A research project on “Automated and Connected Driving” funded by the BMVI, extending the conventional sensor set (forward and rearward facing radar, multiple lidar sensors, and a multi-functional camera setup), by a bi-frequency range ground penetrating radar (GPR) to detect damaged spots and other features in the road substructure to provide a predictive maintenance and introduce cloud-based services, as well as utilizing the low frequency GPR range to mark deep infra-substructure as fingerprints for robust and high-precision localization.
Hochautomatisiertes und straßenschonendes Fahren auf Basis der Bodenradarsignale (RADSPOT)
Radspot at Matlab Expo 2019
MATLAB EXPO is focused on future-oriented technologies such as artificial intelligence, predictive maintenance, deep learning, machine learning, internet of things, data analytics, physical modeling or virtual prototypes. Customers are from industry, research and teaching as well as MathWorks engineers presenting projects and solutions from various fields of application. Important topics included the analysis and use of data in technical systems, the modeling of physical systems, Industry 4.0, autonomous driving, 5G as well as quality and security in software development.
Radspot was invited to present in MATLAB EXPO from our supporting partner sysGen, sharing a booth with NVIDIA. The presentation was about the latest theoretical and practical results in the area of autonomous driving, utilizing AI techniques and MPC, cloud-service for health monitoring of street surfaces and substructures, holistic Digital Twin for traffic applications and Hybrid time- and event-triggered IoT communication protocols.
