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SELF DRIVING VEHICLE CONTROLLER  ASSISTANT

Ahamed, Nandu R, Salman Farish, Saud Hussain, DR. Suresha D

Information Science and Engineering Department, AJ Institute of Engineering and Technology

I.    ABSTRACT

These days, automation and self-learning are not just available to humans. If you look out toward the horizon of the automobile industry, you can see that a brand-new, thrilling period—the era of self-driving cars—is beginning to take shape. when people won't have to pay attention to the road as they drive. Vehicles will transport us to our destinations blazingly quickly and effectively, eliminating any worries about distracted driving or difficult rush hour journeys. The foundation of autonomous driving is sensor fusion and computer vision.

In this project, a system is created which is, ideally, capable of automatically driving a vehicle on streets without any human input required. In addition to cameras and IR sensors, the vehicle would also have an on-board computer for making decisions.We would also need to use machine learning for certain applications such as object detection for detecting other vehicles, traffic sign detection, etc. We would also need to use a navigation system such as Google Maps in order to obtain waypoint data. the project will be deployed as a software demonstration on a car simulator.

The effective integration of the ASDVC controller in self-driving cars could significantly improve the sustainability and dependability of mobility for the next generation of vehicular transportation systems.