We focus on components for electric and automated vehicles and other mobile platforms with zero emissions/zero accidents in mind. These components include torque vectoring algorithms, DbW capabilities (project H2020 3CCar), and fail-operational perception systems (project H2020 PRYSTINE) incorporating research on sensor fusion (cameras, radars, lidar) and embedded intelligence where perception models (e,g, object detection deep NN) are implemented on FPGA-based SoC. Our research resulted in the first self-driving car demonstrator in Latvia, awarded by LZA as one of the top scientific achievements in 2017. We also contribute to the development of connected and cooperative driving capabilities, demonstrated by research in V2X communication (projects H2020 Autodrive, SRP SOPHIS) and participation in GCDC 2016. Several research projects have focused on ITS for traffic monitoring and optimization (projects ESIF MITS, DziNTA), while research in sensor networks has been applied for train integrity control, maintenance, and logistics (projects FP7 DEWI, H2020 ENACT).

In addition, EDI work on drone technologies, where we have the following expertise: prototyping of custom drones for various use-cases (inspection, localization, mapping), including the equipment of drones with various sensors; on-board processing of computationally demanding algorithms using modern heterogeneous SoCs (MPU + FPGA + GPU); autonomous flight controller development without a base station; testbed for drone testing with indoor GPS-like camera-based localization.