Technical Report: Towards State and Situation Awareness for Driverless Vehicles Using Deep Neural Networks

Abstract

In this report, how the intelligence of Self-Driving Vehicles (SDVs) is being built by the automotive industry for the efficient deployment of handover wheels is analysed and applications of machine intelligence for SDVs are implemented using Deep Neural Learning. This report shows how machine intelligence of SDVs for state and situation awareness (SSA) can be developed using visual perception. More specifically, this paper proposes a system for detecting and recognising other vehicles, their positional states, traffic signs, and road structures including lanes using DL approaches.