9Design of Fuzzy Logic-Based Smart Cars Using Scilab
Josiga S.*, Maheswari R. and Subbulakshmi T.
School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India
Abstract
Fuzzy logic could be implemented to build smart cars that have the ability to reduce human intervention while driving which helps in taking precise and immediate decisions. A Fuzzy Inference System (FIS) is programmed using the software ‘Scilab’ to work in varying geographic regions, road and atmospheric conditions. To ensure unhinged functioning of the smart car, the inputs to the FIS such as atmospheric conditions, external factors, traffic signal, obstacle distance, and obstacle position must be calculated in a proper way. The fuzzy inputs are obtained, and a rule base is created using Scilab to create the FIS that can provide the speed and direction of the vehicle as the outputs of FIS. The objective of this chapter is to advocate a novel approach to design a FIS to control the speed and direction of a vehicle. The implementation of FIS based smart cars result in lesser accidents and faster response system for the world.
Keywords: Fuzzy logic, smart car, scilab, fuzzy inference system, fuzzy rules
9.1 Introduction
Smart cars are vehicles that are capable of secure driving without the intervention of the driver. Automation of driving was intiated on different levels covering manually operated vehicles to completely automated vehicles. Society of automotive engineers have a ...
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