Self Driving Vehicles
State of the art deep learning approaches are widely used the in vehicle automation applications including vehicle tracking, sign recognition, pedestrian detection and pose estimation.
Vehicle to Infrastructure (V2I)
Variety of V2I applications including traffic data collection and mining, road safety profile analysis, dedicated short range communication (DSRC)
Data Security and Blockchains
Vehicle and infrastructure communication protocols are vulnerable. One way to completely secure our future transportation is Blockchains.