392276 Projekt "Hardware-beschleunigte Bildverarbeitung für mobile Roboter" (Pj) (SoSe 2013)

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FPGA-basierte Architekturen eignen sich aufgrund ihrer massiven Parallelität bei gleichzeitig hoher Ressourceneffizienz insbesondere für den Einsatz als Hardwarebeschleuniger im Bereich der Bildverarbeitung in mobilen Systemen. Im Rahmen dieses Projekts sollen verschiedene Werkzeuge (Vivado HLS, Catapult C, etc.) zur automatischen Übersetzung von in Hochsprachen wie C/C++ geschriebenen Bildverarbeitungsalgorithmen in Hardwarebeschreibungs-sprachen wie VHDL oder Verilog evaluiert und mit für die Zielplattform optimierten Code verglichen werden. Als Testplattform dienen dabei die FPGA-basierte Prototyping Plattform RAPTOR und das mobile Robotersystem AMiRo.

Requirements for participation, required level

- Grundkenntnisse in C/C++
- Interesse an Bildverarbeitungsalgorithmen, idealerweise bereits abgeschlossene Prüfungsleistungen des Moduls „Bildverarbeitung“
- Es sind KEINE Kenntnisse über Hardware erforderlich

Teaching staff

Dates ( Calendar view )

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Subject assignments

Module Course Requirements  
39-M-Inf-P1_NWI Projekt 1 Projekt 1 Ungraded examination
Student information
39-M-Inf-P2_NWI Projekt 2 Projekt 2 Ungraded examination
Student information
39-M-Inf-P_ver1 Projekt Projekt Ungraded examination
Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.

Degree programme/academic programme Validity Variant Subdivision Status Semester LP  
Intelligente Systeme / Master (Enrollment until SoSe 2012) Projekt Wahlpflicht 2. 4. 10 unbenotet  
Naturwissenschaftliche Informatik / Master (Enrollment until SoSe 2012) Projekt I; Projekt II Wahlpflicht 2. 4. 10 unbenotet  
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Limited number of participants: 6
Address:
SS2013_392276@ekvv.uni-bielefeld.de
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Last update basic details/teaching staff:
Monday, August 13, 2018 
Last update times:
Wednesday, March 20, 2013 
Last update rooms:
Tuesday, March 12, 2013 
Type(s) / SWS (hours per week per semester)
project (Pj) / 4
Department
Faculty of Technology
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ID
38791075