BME Automated Drive Lab

The aim of BME Automated Drive Lab is to do efficient and spectacular R&D activities in the whole spectrum of highly automated and autonomous road vehicles. As academic research group the lab intends to connect the academic and industrial competences, also the education and research. So that the lab would like to catalyze the acceptance and penetration of self-driving vehicles and related technologies. It is emphasized that beside fundamental research in this field, the lab is also doing applied research, i.e. real automated vehicles and functionalities are developed continuously for credible demonstrations. The lab has 5 main research layers including several subfields: • Perception: Object detection, Deep learning in perception, Raw and object level sensor fusion, testing and validation of perception systems • Decision-control: High level vehicle functions, vehicle control above dynamic stability (drift), trajectory planning, path following, low level actuator control; • Simulation, testing and validation methods: co-simulation framework of automotive and traffic engineering software suites, Vehicle-in-the-Loop and Scenario-in-the-Loop methods • Redundant architectures for automated vehicles: safety, cyber-security • Application: Automated vehicle development (Smart, BMW), Perception measurement data collection system (Honda+sensors), Complex testing