Intelligent navigation system for emergency vehicles

Self-Driving Vehicle (SDV) is a promising technology that will establish its predominance in the near future. As the vehicles are autonomous, humans will experience a hassle-free travel. Autonomy abolishes disasters due to driver's negligence. The main challenge is to provide an unobstructed path to Emergency Vehicles (EVs). In this paper, the EVs are identified using Deep Learning (DL) based algorithms. Though they are driven by Neural Networks (NNs), there are some situations in which they have to mimic a human. SDVs should be incorporated with the knowledge of a fast approaching EV. The ability to perceive and respond is addressed in this paper.