Active Learning at Scale -- Building a Robust Data Unification Framework

Nauto is a leading provider of advanced driver assistance systems that improve the safety of commercial fleets today and the autonomous vehicles of tomorrow. To that end, we process terabytes of driving data a month, collected by windshield-mounted devices from vehicles around the world. This data is used to continuously improve the models that power our vehicle safety stack, from the real-time predictive collision alerts deployed to our devices, to the safety analytics that run on the cloud. Beyond providing immediate safety value to the drivers, our features play the important role of shaping their own evolution. If we want to improve the vehicle detection powering Forward Collision Warning (FCW), the first place we will look is the false positives triggered by FCW.