Autonomous

Case study notes

Introduction

An autonomous car (also known as a driverless car, auto, self-driving car, robotic car) and Unmanned Ground Vehicle is a vehicle that is capable of sensing its environment and navigating without human input.

Autonomous vehicles are usually powered by machine learning and neural networks, but can sometimes be pre programmed.

How does it work or a deeper look

Many such systems are evolving, but as of 2017 no cars permitted on public roads were fully autonomous. They all require a human at the wheel who must be ready to take control at any time.

Autonomous cars use a variety of techniques to detect their surroundings, such as radar, laser light, GPS, odometry and computer vision. Advanced control systems interpret sensory information to identify appropriate navigation paths, as well as obstacles and relevant signage. Autonomous cars must have control systems that are capable of analyzing sensory data to distinguish between different cars on the road.

Examples

Throughout robotics competitions there are two sections. Remote controlled, and autonomous. The autonomous period of the tournament has robotics move around without any human input, only listening to their pre programmed commands.

Devote time and attention to gaining knowledge of (an academic subject), especially by means of books

a group or system of interconnected people or things.

Use knowledge and understanding to recognize trends and draw conclusions from given information.

Provide an answer from a number of possibilities. Recognize and state briefly a distinguishing fact or feature.

Make clear the differences between two or more concepts or items.