Optimization in Self Driving Car by using Deep Transfer Learning Approach

Abstract

The study of mobile autonomous cars utilizing deep learning and AI is a fast-developing topic that brings together breakthroughs in artificial intelligence, computer vision, robotics, and transportation engineering. This field is an illustration of an interdisciplinary field that combines multiple fields of investigation. The objective is to invent vehicles that are suitable of driving themselves, sometimes known as driverless cars, which can navigate and make judgments without the necessity of human intervention. These vehicles utilize deep learning algorithms and other AI approaches to analyze the environment, process sensory data from a group of onboard sensors, and safely maneuver through complicated scenarios.