Deep Learning for Autonomous Driving System

An autonomous car is a vehicle capable of sensing its environment and operating without human involvement. A human passenger is not required to take control of the vehicle at any time, nor is a human passenger required to be present in the vehicle at all. An autonomous car can go anywhere a traditional car goes and everything that an experienced human driver does. Automation can help reduce the number of crashes on our roads. Government data identifies driver behavior or error as a factor in 94 percent of crashes, and self-driving vehicles can help reduce driver error. Higher levels of autonomy have the potential to reduce risky and dangerous driver behaviors. Self-driving vehicles are cars or trucks in which human drivers are never required to take control to safely operate the vehicle. Also known as autonomous or “driverless” cars, they combine sensors and software to control, navigate, and drive the vehicle Everyone will benefit from self-driving cars, but to varying degrees. Society, from a safety standpoint, benefits from eliminating some or all of the 34,247 motor vehicle fatalities per year. The elderly and disabled can benefit by regaining independence. If thought out, planners say, autonomous vehicles could increase car-sharing, which would reduce traffic congestion and air pollution. Because the technology will allow these vehicles to travel closer together, they will take up less lane space language.

Keywords: Arduino Uno, Raspberry pi, Motor driver, DC motor, Web camera, power supply