All ETDs from UAB

Advisory Committee Chair

Abidin Yildirim

Advisory Committee Members

Arie Nakhmani

Dalton Nelson

Document Type

Thesis

Date of Award

2018

Degree Name by School

Master of Science in Electrical Engineering (MSEE) School of Engineering

Abstract

Nearly 1.3 million people die in road crashes each year, which is on average 3,287 deaths a day. An addition to the death toll, another 20-50 million are injured or disabled [1]. These are the huge deal of damage to the human’s body. Therefore, in this thesis, we implement autonomous navigation and find the safe path for travel, in which the vehicle can find the most feasible path and drive along this path independently. In order to gain insight and have an opportunity to investigate further on autonomous vehicles field, we define the aim of this project to design, develop, build and test an affordable vehicle model for laboratory environment that it can autonomously navigate while avoiding the obstacles on its path. we are taking an affordable approach to accomplish a relatively new and difficult task that is involving new technologies. To meet the “low-cost” requirements, we have evaluated several off-the-shelve components, which was reliable, affordable and have easy system integration capabilities. For the scanning of the field of view, we have used an affordable LIDAR (~ $130) as the main scanning device, Arduino Mega single board computer for serial data communication with the host computer (Laptop), and an H-Bridge DC-Motor controller to drive four DC Motors. For the software development, we have used MATLAB, and Sketch IDE for the software development for the Arduino Mega single board computer.

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Engineering Commons

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