Pregled bibliografske jedinice broj: 878477
The Challenge of Measuring Distance to Obstacles for The Purpose of Generating a 2-D Indoor Map Using an Autonomous Robot Equipped with an Ultrasonic Sensor
The Challenge of Measuring Distance to Obstacles for The Purpose of Generating a 2-D Indoor Map Using an Autonomous Robot Equipped with an Ultrasonic Sensor // Proceedings of MIPRO CTS - Computers in Technical Systems Conference, 2017 / Biljanović, Petar (ur.).
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2017. str. 1212-1217 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 878477 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
The Challenge of Measuring Distance to Obstacles for The Purpose of Generating a 2-D Indoor Map Using an Autonomous Robot Equipped with an Ultrasonic Sensor
Autori
Rodin, Rino ; Štajduhar, Ivan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of MIPRO CTS - Computers in Technical Systems Conference, 2017
/ Biljanović, Petar - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2017, 1212-1217
ISBN
978-953-233-093-9
Skup
40th International Convention MIPRO 2017
Mjesto i datum
Opatija, Hrvatska, 22.05.2017. - 26.05.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
mobile robot ; ultrasonic sensor ; indoor mapping
Sažetak
In this paper, we deal with some preliminaries concerning the problem of creating a reasonably accurate 2-D indoor map, using an autonomous mobile robot equipped with an ultrasonic sensor. For this purpose, we utilize the robotic frame DiddyBorg, coupled with the latest Raspberry Pi model. The accuracy of the used ultrasonic sensor is tested in a simulated and a real-world environment. Ultrasonic sensor flaws cause errors in the area mapping process, in the form of precision decline and unwanted ghost points, usually around the corners of an indoor environment. We present a method for filtering these unwanted occurrences. The method has been tested in a controlled test box environment and in the real-world indoor environment. We have used a square, a triangle, and a hexagon as shapes for the testing environment. As a basis for the mapping process, ordinary trigonometry was used, whereas cluster analysis was used for the removal of errors. Experimental results suggest that the proposed method is reasonably accurate in determining correct position and distance of measured points from single-point scans.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo