Self-Driving Car with Cloud Computing

Abstract

The research goal to build a monocular vision self-driving car with cloud computing prototype using Raspberry Pi as a processing chip. An HD camera along with an ultrasonic sensor is used to provide necessary data from the real world to the car. The car is capable of reaching the given destination safely and intelligently thus avoiding the risk of human errors. Many algorithms like object detection, action/correction detection are combined together to provide the necessary control to the car. Technological advances are pacing in an unmanageable manner. The more a nation invests in upcoming technologies, the more incentives it enjoys in the long run. These incentives branch from finer infrastructure to augmentation of the jobs sector. The prime focus of technology nowadays is to moderate the human intervention in day-to-day tasks. Machine Learning, Artificial Intelligence, and Computer Vision being the big players in doing so. We have reached a time wherein we can automate our menial tasks like driving. Insane, right? This segment of Computer Vision is popularly known as Autonomous Cars. These are vehicles that perceive their environment and move without human navigation. Self-driving cars to become more reliant on indestructible inbuilt road sensors that are embedded in the road and ‘turned on’ during preventive road construction maintenance or in emergencies alerting each vehicle to reduce speed or halt. Ultimately, we can expect the road beneath us to become more communicative with self-driving cars. It will not be long until self-driving cars by default will likely keep an activity log for service and debugging. Privacy, of course, will be an issue, whether it is the insurance company, the car maker, a local dealer, or even police authorities all seeking another means to track our every coming and going. Crucial components of the future will be the mobile networks, ad hoc (car to car) networks, vehicles to and from road sensors, and satellite communications.