Design and Construction of Navigation Based Auto Self Driving Vehicle using Google Map API with GPS

International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 3 Issue 5, August 2019 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD25214 | Volume – 3 | Issue – 5 | July - August 2019 Page 65
Design and Construction of Navigation Based Auto
Self-Driving Vehicle using Google Map API with GPS
May Thet Htar Nyo1, Win Zaw Hein2
1Student, 2Associate Professor
1,2Department of Electronic Engineering, Mandalay Technological University, Mandalay, Myanmar
How to cite this paper: May Thet Htar
Nyo | Win Zaw Hein "Design and
Construction of Navigation Based Auto
Self-Driving Vehicle using GoogleMapAPI
with GPS" Published
in International
Journal of Trend in
Scientific Research
and Development
(ijtsrd), ISSN: 2456-
6470, Volume-3 |
Issue-5, August
2019, pp.65-68,
https://doi.org/10.31142/ijtsrd25214
Copyright © 2019 by author(s) and
International Journalof Trendin Scientific
Research and Development Journal. This
is an Open Access
article distributed
under the terms of
the CreativeCommonsAttributionLicense
(CC BY 4.0)
(http://creativecommons.org/licenses/by
/4.0)
ABSTRACT
Self-driving vehicles are one of the most useful technologies in many
applications such as bomb disposal, underwater exploration, industrial
transport; etc. Control and guidance are important aspects of research and
many techniques have been proposed in literature which range from fully
autonomous and intelligent systems to laser and radar guided systems and
line followers. This paper presents a technique for guiding and controlling
autonomous vehicles by using the Google Map API (Application Program
Interface). GPS (Global Positioning System) was fitted to this system for
localization of the vehicle on Google map application via Wi-Fi module.
KEYWORDS: GPS, Google Map (API), Wi-Fi module (ESP8266.
I. INTRODUCTION
Self-driving vehicle is a vehicle that can drive from start point to destination
without a driver. The development of self-driving vehicle has progressed at an
unanticipated pace in recent years. This vehicle used GPS to navigate from
current location to desired destination. Therefore, it can be used in industrial
site to carry the product from one place to another without being human input.
The vehicle can be easily transported on a trailer to the testing area. The main
purpose of this system was to control a movement of a vehicle based on the
Google map Application Program Interface (API)usingGPSlocation serviceand
displayed the route information on Google map and to know the travel time
between each node.
The location of the vehicle was determined byusingGPSand
it was transmitted to the web via Wi-Fi. A wireless
communication system was used for transmission purpose.
The system consists of GPS and Wi-Fi module installed on
the vehicle. Wi-Fi module was used not only for operationas
a controller and also gets the internet access. The vehicle
location information from GPS was informed current
position to the controller. User had to assign the route of the
vehicle from Google map application that is user had to
select and put the designation of the route. After identifying
the destination by user, the system read the direction of the
route from API and sent that information to the DC motors
for movement of the vehicle and sent to the servo motor for
direction control of the vehicle. Recently, localmap was used
from database of the web to test the dataof thevehicleroute.
There are two tables in database;theuser recommendstable
and route information table.
A. Literature Review
Dhanasingaraja R., Kalaimagal S., Muralidharan G., in March
2014, proposed Autonomous Vehicle Navigation and
Mapping System. It was interfaced with OSRM open
sourcemap through internet. This system used GPS, GPRS,
compass, inertial sensor and laser. This system was not only
relay on GPS. To improve the efficiency, it used location
information from inertial sensors too. This system took the
current position as source and gets the destination point
from user. User had to specify the destination in the map.
System found the shortest path to the destination and
extracts the latitude and longitude coordinates from the
graph and sends to the vehicle. Vehicle followed the
coordinate using GPS and compass. If GPS signal was not
received, inertial navigation system was used to obtain
current coordinate. Obstacles around the vehicle were
sensed by rotatable laser range finder. Current location of
the vehicle was uploaded to the server through GPRS. At the
server, coordinates were obtained and displayed in the
Google map for monitoring purpose. Therefore, the vehicle
could be monitored from anywhere in the world. [2]
Tanveer Hossen Sakkhor, et.al proposed Autonomous Car
Using Full Mapping GPS System. It was based on a Laptop
computer to generate the path coordinates and an Android
phone to obtain the GPS data and used the mobile camera as
the obstacle detection image processing unit. This system
had two parts: Electrical and Mechanical. The whole process
of this system was controlled by linking Arduino with a
Smartphone and laptop. The GPS from smart phone was
used to locate the current location of the car and Google
Earth Pro from laptop was used to create the path of desired
destination. Google Earth Pro chose the shortest path and
the user saved the KMP file and extracted the KMP file into
XML, and the converting processwasdonebytheArduino.In
mechanical parts, it was included a digital potentiometer, a
motor controller, steering motor and another motor. The
signal from Arduino came intothedigitalpotentiometer,and
IJTSRD25214

International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
it controlled the voltage to change the speed of the car. The
digital potentiometersentrequired instructionstothe motor
controller. Motor controller controlled the whole process of
the motor of the car as rpm, turning, speed etc. Another
motor controller was used for the steering movement. This
motor controller controlled the steering movement and it’s
directly linked with the Arduino. Gyro sensor was used for
the direction purpose. It worked as a compass to control the
desired direction of vehicle. Other sensor includedIRsensor
and Sonar sensor for obstacle detection [1].
B. Appliances of Web Technology
Web is the most critical technology tocarrydataviainternet.
The primary function of a web server is to store,processand
deliver web pages to clients. Generally, most of the web
servers support server-side scripting using Active Server
Pages (ASP), PHP or other scripting languages. Web servers
are not only used for serving the World Wide Web but also
found embedded in devices such as printers, routers, and
webcam. No additional software has to be installed on the
client computer because only a web browser is required.
There are three main parts in this technology. They are
hypertext document, web server and web browser.
The communication between client and server takes place
using the Hypertext Transfer Protocol (HTTP). Pages
delivered are most frequently Hypertext Mark-up Language
(HTML) documents, which may include images, style sheets
and scripts in addition to text content. Hypertext document
also called web document is a text document including
HTML element.
The basic function of web browser is to carry the data from
user to web server and vice versa. The most popular web
browsers are Microsoft Internet Explorer, Mozilla Firefox,
Google Chrome, Apple Safari and Opera.
II. SYSTEM BLOCK DIAGRAM
Basically, the proposed system was included DC motor for
vehicle movement, servo motor for lane control, Node MCU
for control program, GPS for localization, userguidancemap
for direction finding as shown in figure 1.
Figure1 Overall System Block Diagram
This system was based on web technology, GPS technology
and Application Program Interface (API). The functional
block diagram is shown in figure 1. In this figure, GPS
supported only current position of vehicle as longitude and
latitude. Google map was used to assign the map from start
point to destination. The direction of vehicle was measured
by servo motor to follow the direction of navigation. The
control program was installed in Node MCU: ESP8266
module. This module supports Wi-Fi access for web
development. Motor driver L298N was used to control the
movement of vehicle and the magnetometer was used to
justify the heading of the vehicle.
The flow chart of main control program was shown in figure
2. In this flowchart, the system was initialized firstly. And
then loading the map and localize the current position. After
the user was identified the destination, the vehicle is started
to drive. The path from start to destination is actuallyasetof
coordinates that form a line. These coordinates could be
considered nodes. The vehicle can reach its destination by
going again and again through each node, eventuallyleading
to the destination.
Figure2 Overall System Flow Chart
III. METHODOLOGY
There were two main parts in this system: direction finding
using user instruction (guided map/ local map) and apply
route (such as degree angle) control tothe vehicledriving.In
direction finding process, paths were calculated in control
program that included in ESP8266 Wi-Fi module. A route
planner offered directions from one specific location to
another. There was an angle between twocoordinates called
vehicle’s heading. The vehicle heading also had to be
calculated in this case to justify the direction. The goal of the
vehicle was to try and maintain the heading between the
current position and the next node. Each node could be
considered a current goal. By reaching the current goal, the
next node became the goal, therefore recursively the vehicle
iterated again through each current goal to the final goal.
The controller drives the DC motor by L298N motor driver
for continuous movement. There are three methods in
controlling the speed of DC motor: Flux Control, Armature
Voltage Control, and Supply Voltage Control (PWM). Both
flux control and armature voltage control cannot provide
speed control in the desirable range. Whereas the armature
voltage control method involves huge power loss due to its
usage of resistors in series with the armature. Therefore,
Pulse Width Modulation (PWM) method was usedtocontrol
the DC motor. Pulse Width Modulation (PWM) is a method
for binary signals generation. It has two signal periods (high
and low). The width (W) of each pulse varies between 0 and
the period (T) as shown in figure 3. The main principle is
control of power by varying the duty cycle.
Figure 3 Pulse Width Modulation (PWM) of DC motor

In this figure, where T=Ton+Toff, T=time period, Ton=ON
time and Toff=OFF time.
Distance between a pair of latitude and longitude was
calculated using Haversine formula because it provides
greater accuracy. Haversine formula gives the shortest
distance over the surface of the earth. It is shown as follows;
Distance=R c (1)
(2)
(3)
Where,
R=radius of earth, 6371km,
= difference in latitude (lat2-lat1),
= difference in longitude (lon2-lon1),
= the angular distance,
= the square of half the chord length between the points.
IV. EXPERIMENTAL SETUP
There were hardware and software parts in this system. In
hardware part, GPS module (Neo 7N), Wi-Fi module
(ESP8266), Motor Driver (L298N), and CA 1253 voltage
conversion module were installed on the car kit. In GPS
module, Rx and Tx were connectedtomicrocontroller digital
pins 3 and 4. In this system, Wi-Fi module operated as a
microcontroller and it was also used to get the internet
access. In Wi-Fi module, digital pins 9 and 10 operated as Rx
and Tx. GPS receiver was required to getthe currentlocation
of the vehicle. Once the Wi-Fi module and GPS module have
assembled, the GPS module was almost ready to get the
location information of the vehicles. In software part,
Arduino IDE, xampp, HTML, Java script, PHP languageswere
used to complete the system.
In this work, there were two parts of the whole system;
vehicle part and direction control part. The movement and
direction control were examined by Arduino Uno and the
desired route control were examined by Google map API.
The movement of desired vehicle was controlled by DC
motor driver and the direction angle of vehicle heading was
controlled by servo motor. The control program was
developed by Arduino IDE and it was installed in Arduino
UNO. The movement accuracy was measured and analyzed
practically. Figure 4 shows complete hardware design
representation of the system.
Figure.4 Complete Hardware Design of Vehicle
In this figure, DC motor was set up on rare wheels and servo
motor was fitted up on front wheels. L298N motor driver
was used for DC motor driving. 5V, 3A voltage regulator was
used for stable power supply and it was desired to protect
battery power un-stabilization. Sometime, battery power is
in constant and the current of battery would be down when
battery has been using for long time.
Figure 5 shows measurement plans for angle accuracy of
servo motor driving unit of thevehicle. In thisplans,example
measurement of angle driving was shown in figure 6.
According to this figure, the degrees were measured as 30,
60, 90, and 120 degree respectively.
Figure5 – Preparing to Measure the Turning Angle
Figure 6 shows comparison of settingtimein controlprocess
and angle degree movement of the vehicle. In this figure, the
first column was shown PWM value and it was 200 for all
angle control, the second column was represented as timein
millisecond and the third column was angle degree
movement. Before practical test for servo motor control, the
PWM waveform was simulatedinproteussoftware asshown
in figure 7 and 8.
Figure6 Measuring Turning Angle
In the figure 7, the PWM is for 90 degree movement of servo
motor and in the figure 8, 145 degree movement of servo
motor. From these two figures; the PWM is wider for larger
degree control of vehicle.
Figure7 Example representing of 90° Pulse Width of Servo

Figure8 Example representing of 145° Pulse Width of
Servo
The location of the vehicle was uploaded in web application
such as Google map. The data uploading to the web server
was shown in figure 9. In this case, the free web application
was used in this system.
Figure9 Creation of data uploading in free web application
When data was successfully uploaded in the web, it was
shown as “A record has been inserted” asshown infigure10.
Create free web and file is uploaded to getthe locationand to
map the vehicle current position.
Figure10 Notification of Upload Data Done
The direction control part of the vehicle was completed by
Google map API and current location of the vehicle was
supported by GPS. The figure 11 shows the example
direction control of the vehicle.
(A)
(B)
Figure11 Example route information show on serial
monitor
Figure 11 shows the example route information that was
assembled in serial monitor. In the figure 11 (B), there were
five nodes to assign for one complete route from start point
to destination. In each node; distance (meter), acceleration,
current latitude and longitude were measured and
represented and then, next node latitude and longitude,
heading information and address from node to node were
also included. From that information, the vehicle was
controlled to move according to this direction from the start
point to the destination as shown in figure 12.
Figure12. Route showing on Google map
Figure 12 shows the route on Google map. In figure, the first
part was represented as latitude and longitude value of
current location and then, the next line was the latitude and
longitude value of the destination that was assigned byuser.
The blue line was the desired route of the vehicle. From this,
the vehicle was driven by Google map API easily and the
current location of the vehicle was shown as a blink point
using GPS navigation.
V. CONCLUSION
This system depending on the web application, the whole
information of the vehicle is stored to the server. The
accuracy of the system depends on the internet speed of the
Wi-Fi network. In this system, the major problem was the
accuracy of DC motor in this vehicle kit because the
efficiency of each motor which is available in commercial
market is not same. Sometime, the left motor is faster than
the right motor even in one kit set. Therefore, the vehicle
cannot drive straight forward with the same PWM value.
This vehicle can go only 12 inches in 857ms. The maximum
turning angle of servo must be different in another carkit. In
this vehicle, servo motor can turn 0° to 145°. This research
tends to drive, without human supervision, within limited
and carefully mapped area and to be used more easily in the
industrial area. This system can reduce risky and dangerous
driver behavior.
Acknowledgment
Author thanks to Dr.Win Zaw Hein, Associate Professor,
Department of Electronic and Communication Engineering
for kind permission to prepare for this paper, for his close
supervision, helpful advice, encouragement and numerous
invaluable guidance. The author would also thank to all
teachers and friends who willingly helped the author
throughout the preparation of the paper.
REFERENCE
[1] Tanveer Hossen Sakkhor 12121181Samin Saksiat
Zaman-11221003 Md. Arafat Al Sadi-11121098
Abdullah Al Nayeem Mahmud-11121049,“Autonomous
Car Using Full Mapping GPS System”
[2] Dhanasingaraja R, Kalaimagal S, Muralidharan G
“Autonomous Vehicle Navigation and Mapping System”
March 2014
[3] Arvind “Optimizing the turning radius of a vehicle using
symmetric four wheel steering system” December-2013
[4] Onishim Hasdak (09201003) , “Programming a Self-
Driving Car” August 2015

Design and Construction of Navigation Based Auto Self Driving Vehicle using Google Map API with GPS

More Related Content

What's hot (20)

Similar to Design and Construction of Navigation Based Auto Self Driving Vehicle using Google Map API with GPS (20)

More from ijtsrd (20)

Recently uploaded (20)

Design and Construction of Navigation Based Auto Self Driving Vehicle using Google Map API with GPS