Open AccessMultiple Sensing Method Using Moving Average Filter for Automotive Ultrasonic Sensor
Author(s) -
A. P. Prasetyono,
I Wayan Adiyasa,
Ardyta Yudianto,
S N K Agit
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1700/1/012075
Subject(s) - ultrasonic sensor , echo (communications protocol) , filter (signal processing) , reading (process) , computer science , microcontroller , automotive industry , acoustics , noise (video) , real time computing , computer vision , computer hardware , engineering , computer network , physics , political science , law , image (mathematics) , aerospace engineering
Distance sensing on vehicles is a trend in the development of autonomous cars. So that the use of proximity sensors such as ultrasonic and infrared, is very important. This research paper focuses on developing a reading of 4 ultrasonic sensors simultaneously. Where the reading method is done using 4 pin echo and 4 pins trigger and 1 pin echo with 4 pin triggers. In order for better reading, the programming algorithm for each method is integrated with the moving average filter. The use of this filter is able to correct the noise that occurs when reading the distance. The test was carried out at the computer simulation stage using a microcontroller. The final results of the study obtained a very small reading error.