Implementation Of Google Maps Navigation For Self-Driving Car With Electrical Power Steering

Audrian, Evan and Widjaja, Benny and Rusyadi, Rusman (2018) Implementation Of Google Maps Navigation For Self-Driving Car With Electrical Power Steering. Bachelor thesis, Swiss German University.

[img]
Preview
Text
Evan Audrian 11401029 TOC.pdf

Download (521kB) | Preview
[img] Text
Evan Audrian 11401029 1.pdf
Restricted to Registered users only

Download (219kB)
[img] Text
Evan Audrian 11401029 2.pdf
Restricted to Registered users only

Download (345kB)
[img] Text
Evan Audrian 11401029 3.pdf
Restricted to Registered users only

Download (1MB)
[img] Text
Evan Audrian 11401029 4.pdf
Restricted to Registered users only

Download (1MB)
[img] Text
Evan Audrian 11401029 5.pdf
Restricted to Registered users only

Download (209kB)
[img]
Preview
Text
Evan Audrian 11401029 Ref.pdf

Download (92kB) | Preview

Abstract

Nowadays, automated system is needed to handle some of human repetitive works, and one of it is driving. Autonomous car or so called self-driving car will not only helping human, but it believed will increase energy efficiency and human convenience. However one of the major challenges on developing a self-driving car is the navigation system. The purpose of this thesis is to build a prototype of a selfdriving car that can navigate to the destination coordinate with the navigation that given by Google Maps. A system consist of several subsystem will be made to request the Google Maps Navigation, then get the waypoint coordinate, then this coordinate will be followed with a path tracking system based on pure pursuit algorithm. Other subsystems also built are a subsystem that control the vehicle steering by controlling an electric power steering, and a subsystem that communicate with the RTK GNSS server using TCP/IP communication. Each subsystem will be tested, and if they could do their task well, they will be connected with ROS and run in sync with each other. This thesis has successfully built a self-driving car that could go to the desired coordinate with the help of Google Maps navigation.

Item Type: Thesis (Bachelor)
Uncontrolled Keywords: Google Maps Navigation; Self-Driving Car; Path Tracking Algorithm; ROS; Pure Pursuit Algorithm
Subjects: G Geography. Anthropology. Recreation > G Geography (General) > G70.212 Google Maps
T Technology > T Technology (General) > T59.5 Automation
T Technology > TJ Mechanical engineering and machinery > TJ163.12 Mechatronics
T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL152 Automobiles--Maintenance and repair > TL152.8 Automated vehicles
Divisions: Faculty of Engineering and Information Technology > Department of Mechatronics Engineering
Depositing User: Astuti Kusumaningrum
Date Deposited: 26 Sep 2020 14:32
Last Modified: 26 Sep 2020 14:32
URI: http://repository.sgu.ac.id/id/eprint/835

Actions (login required)

View Item View Item