Implementing HOG & AMDF based shape detection algorithm for computer vision & robotics education using LEGO Mindstorms NXT

Author

Demirci, Berkan ; Arslan, Oktay ; Tunaboylu, Niyazi Serdar ; Altun, Halis

Author_Institution

Fac. of Eng., Mevlana Univ., Konya, Turkey

fYear

2013

fDate

9-11 May 2013

Firstpage

288

Lastpage

293

Abstract

Using mobile robots in the engineering education is a well-accepted and practical way to teach in the undergraduate programs. In the literature, several different cases are reported to show the adaptation of some robots. This paper describes how mobile robots and basic image processing algorithms might be combined in the MATLAB programming environment to provide a more efficient learning and simulation platform for engineering freshman students. In this study the RWTH - Mindstorms NXT Toolbox for MATLAB has been used and some module have been extended with basic image processing algorithms to control the LEGO Mindstorms robots via Bluetooth.

Keywords

Bluetooth; computer aided instruction; control engineering computing; control engineering education; further education; mobile robots; robot vision; shape recognition; telerobotics; AMDF; Bluetooth; HOG; LEGO Mindstorms NXT; LEGO Mindstorms robot control; MATLAB programming environment; Mindstorms NXT Toolbox; RWTH; computer vision; engineering education; engineering freshman student; image processing algorithm; learning platform; mobile robot; robot adaptation; robotics education; shape detection algorithm; simulation platform; undergraduate program; Computers; MATLAB; Robots; Shape; AMDF; Engineering Education; HOG; Mindstorms NXT; Robotics; Shape Detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE), 2013 International Conference on

Conference_Location

Konya

Print_ISBN

978-1-4673-5612-1

Type

conf

DOI

10.1109/TAEECE.2013.6557288

Filename

6557288