International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 01 | Jan -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1015
Analysis of Obstacle Detection Using Ultrasonic Sensor
Christofer N. Yalung
1
, Cid Mathew S. Adolfo
2
1
Military Technological College, Muscat, Oman
2
Military Technological College, Muscat, Oman
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Abstract – Automation of the car braking system is an
important feature in the development of the smart car. The
ability of a smart car to detect and classify an obstruction that
is in varying proximities from it play a vital role in the system’s
design. In this study, EV3 Lego Mindstorm equipped with an
ultrasonic sensor was used as a model of a large scale vehicle.
EV3 Lego MIndstorm was programmed to slow down when it
is at a certain distance from the obstruction, and to stop when
it is 15 cm away from the obstruction. There were five
obstructions: wood, paper, cloth, plastic and metal.
The distance measurement of the ultrasonic sensor and the
Neural Network was used for the classification of the
obstruction and Multiple Correlation was used for obstacle
detection. There were 250 samples taken from the distance
measurements of five different types of obstruction, each with
a different cross sectional area, and a total recording time of 8
seconds. Overall, there is a high correlation coefficient in the
distance measurement of the different types of obstruction
materials. It is concluded that the ultrasonic sensor was able
to detect the five given types of obstruction. Classification
performance was very poor, which means that on the basis of
distance measurement, the ultrasonic sensor cannot effectively
classify the types of obstructions.
Key Words: Ultrasonic Sensor, Obstacle detection,
Artificial neural network, Distance measurement
1.INTRODUCTION
Nowadays, automation in technology is widespread, this
can be seen on doors, electronic devices, cars and in
various industrial applications. This is made possible by
sensing devices, which serve as a medium between the
machine and the environment. Ultrasonic sensor is an
incredibly useful sensor in the field of automation. For
example, a mobile robot receives environmental
information, converts it into a signal and performs this
signalled task like avoiding obstacles (In this sentence you
should mention specifically the function of the ultrasonic
sensor). This particular type of sensor produces
satisfactory results and is cost effective. The algorithm for
distance calculation is based on the measurement of the
time of flight of the ultrasonic waves. The distance
between two objects can be measured using the ultrasonic
sensor. The technique of distance measurement is based
on the measurement of the elapsed time between the
emission of the wave and the reception of the echo. The
propagation of the ultrasonic wave is done at the sound
speed in the air (340 m/sec). A typical ultrasonic distance
sensor consists of two main elements. One element
produces sound, another catches reflected echo. Basically,
these pieces are a speaker and a microphone. The device
generates ultrasonic impulses and triggers the timer. The
other element registers the arrival of the sound impulse
and stops the timer. From this information it is possible to
calculate the distance travelled by the sound. It is usually
not difficult to select a sensor that suits the environmental
and mechanical requirements of a particular application,
or to evaluate the electronic features available with
different models. Still, many users may not be aware of the
acoustic subtleties that can have major effects on the
operation of the ultrasonic sensor and the measurements
being made with them [1]. The basic principle of sound
propagation, the effect of a wave when it strikes a solid
object and the reception of the reflected sound waves are
illustrated in Fig-1[2].
Fig-1: Ultrasonic sensor operations
The velocity of the sound in air is given by the equation
(1), this is used to calculate the speed of the sound in air.
The distance that sound travels is equal to the speed of
sound in the medium multiplied by the time that sound
travels[2].
(1)
The impulse width is proportional to the time required for
the echo return. This time is called time-of-flight (TOF) [3].
But there are other factors which may also affect the
propagation of sounds such as: ambient pressure, gas
density and humidity [4].