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 first self-driving car demonstrator in Latvia, awarded by LZA as one of top science achievements in 2017. We also contribute to 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).