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Difference between revisions of "Monocular Vision-based Object Following on Nano-size Robotic Blimp"

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[[File:Tiles.png|thumb|right|600px|Example of the Kernelized Correlation Filters method [6].]]
 
[[File:Tiles.png|thumb|right|600px|Example of the Kernelized Correlation Filters method [6].]]
  
[[File:Blimp3.png|thumb|right|600px|Model of IIS/TIK nano-blimp prototype.]]
+
[[File:Blimp3.png|thumb|right|300px|Model of IIS/TIK nano-blimp prototype.]]
  
 
==Description==
 
==Description==

Revision as of 15:13, 20 February 2018

Example of the Kernelized Correlation Filters method [6].
Model of IIS/TIK nano-blimp prototype.

Description

More details coming soon...

Status: Available

Available as Master Thesis for one student
Available as Semester Thesis for one or two students
Supervisor: Daniele Palossi
Professor: Luca Benini

Prerequisites

  • Familiarity with embedded system programming in C.
  • Basic knowledge of parallel programming and Host/Accelerator paradigm.
  • Basic knowledge of FreeRTOS [2] and STM32F4 MCU family [3] is favorable.

Character

20% Literature and theory study
10% C programming on x86
30% C embedded programming (PULP programming/optimization)
20% Test and verification on the real prototype
20% Experimental evaluation and report writin

Detailed Task Description

Meetings & Presentations

The student(s) and advisor(s) agree on weekly meetings to discuss all relevant decisions and decide on how to proceed. Of course, additional meetings can be organized to address urgent issues.

Literature


Practical Details

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