Self-Driving Autonomous Car

Abstract

The goal of this project is to create an autonomous vehicle that can drive itself safely and intelligently without the possibility of human error. This Raspberry Pi-based project can recognize traffic lights and obstacles. It is able to make an informed judgment regarding whether to halt or carry on along the current course by comparing the data processed with the data supplied to it. The hardware platform, that consists of a raspberry pi board, all the hardware, including the pi camera and the ultrasonic sensor that is optimized for enhanced effectiveness, and the camera used in conjunction with an ultrasonic sensor to transmit the data from the outside world for immediate processing and implementation, are significant parts of this project. The cloud platform will mostly be used to prepare our Raspberry Pi board for real-time applications, coming in second. Cloud aids in delivering the offline processing and storage capabilities for vehicles and helps us test and train improved tracking and decision models. Basically, hundreds of examples of these signal images will be utilized to train the processor to distinguish between positive (green signal) and negative (red signal) images. The computational methods for perception, control, localization, and authentication are included in the third and most crucial section.