Lidar Objekterkennung mit Matlab/Simulink und EV3: Unterschied zwischen den Versionen

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* Der Autor schreibt: "just simply using the hokuyo driver for C language and then embed the script to call the data you want to get from the C using C to M file toolbox as mention in paper. But for great results you should using XPCtarget to get it more realtime."
* Der Autor schreibt: "just simply using the hokuyo driver for C language and then embed the script to call the data you want to get from the C using C to M file toolbox as mention in paper. But for great results you should using XPCtarget to get it more realtime."


== Nützliche Links ==
== Verwendete Support Packages für Matlab ==
* [https://de.mathworks.com/matlabcentral/fileexchange/57425-matlab-driver-for-hokuyu-urg-family MATLAB Driver for Hokuyu URG family]
* [https://de.mathworks.com/matlabcentral/fileexchange/57425-matlab-driver-for-hokuyu-urg-family MATLAB Driver for Hokuyu URG family]
* [https://de.mathworks.com/matlabcentral/fileexchange/45075-simulink-support-package-for-lego-mindstorms-ev3-hardware]

Version vom 18. Juni 2017, 17:37 Uhr

Autor: Nora Werner

Betreuer: Prof. Dr.-Ing. Ulrich Schneider

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  • Artikel: Hokuyo URG Series Block in Matlab Simulink
  • Der Autor schreibt: "just simply using the hokuyo driver for C language and then embed the script to call the data you want to get from the C using C to M file toolbox as mention in paper. But for great results you should using XPCtarget to get it more realtime."

Verwendete Support Packages für Matlab