Journal of Artificial Intelligence, Machine Learning and Soft Computing

Abstract

The autonomous car and unmanned ground vehicle is a vehicle that is capable of sensing its environment and navigating without human input. Some believe that autonomous vehicles have the potential to transform the transportation industry and cleaning up the environment. Levels of Autonomous car: No-Automation (Level 0) - The driver (human) controls it all. Function specific automation (Level 1) - Some control functions such as the electronic stability control or charged brakes is automated. Combined function automation (Level 2) - At least two main control functions such as the adaptive cruise control in combination with lane centering are automated. Limited self-driving automation (Level 3) - Under certain traffic and environmental conditions, the driver cedes full control of all safety–critical functions and rely heavily on the vehicle to watch for any changes in the conditions requiring transition to driver control. Full selfdriving automation (Level 4) vehicle is intelligently designed to monitor roadway conditions and act solo and performing all safety–critical driving functions for an entire trip (a fully driverless level). The working of an Autonomous car can be viewed in three stages; they are: The sensing unit of an autonomous car consists of various sensors such as Lidar, Infrared, Cameras, etc. The signals from the sensing unit are sourced to the Logical processing unit, which is responsible for the decision making, user interface, etc. The Mechanical Control System is the unit which regulates the metrics of car. The most important aspect of any autonomous car is the Artificial Intelligence that drives it, it is the element that replaces the human factor.

Keywords: Machine Learning, Convolutional Neural Networks, Deep Learning.