Matt Vitelli

SafetyNet: Safe Planning for Real-World Self-Driving Vehicles Using Machine-Learned Policies

In this paper we present the first safe system for full control of self-driving vehicles trained from human demonstrations and deployed in challenging, real-world, urban environments. Current industry-standard solutions use rule-based systems for planning. Although they perform reasonably well in co…