Difference between revisions of "GCC methods Notes FL2010"

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(Created page with '* Team Members: * PhD Supervisor: * Faculty Supervisor: Arye Nehorai * Goal: * Meetings ** Thursday 8:30 AM - 10:00 AM ** ---- *Status **Week 1 **Week 2 **Week 3 **Week 4 **We…')
 
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* Team Members:  
+
* Team Members: Chady Gemayel
* PhD Supervisor:  
+
* PhD Supervisor: Murat Akcakaya
 
* Faculty Supervisor: Arye Nehorai
 
* Faculty Supervisor: Arye Nehorai
* Goal:
+
* Goal: Implement Automated Mobile Source Localization Methods
 
* Meetings
 
* Meetings
 
** Thursday 8:30 AM - 10:00 AM
 
** Thursday 8:30 AM - 10:00 AM
**  
+
** Friday 1:00 PM - 2:30 PM
 +
**
 
----
 
----
 
*Status
 
*Status
**Week 1
+
** As of November 11, we have accomplished the following:
**Week 2
+
*** Successfully coded and implemented the automation algorithm (9 weeks)
**Week 3
+
**** We initially had code that was able to find the sound source autonomously successfully only for one iteration
**Week 4
+
***** We realized that this was insufficient.  The first iteration was in general quite innacurate, do to the inherent lack of resolution in the system.  The solution to this problem was to have the platforms repeat this automation independantly
**Week 5
+
**** The first few weeks was spent implementing automation logic that would move the automated platforms through sufficient iterations until a certain threshold had been achieved
**Week 6
+
**** The majority of the time was spent troubleshooting this code, finding small bugs and errors that explained erratas in their behaviour
**Week 7
+
*** Created poster, prepared demo and presentation for UGR Symposium (1 week)
 +
*** Made video and short presentation of mobile platforms autonomously locating accoustic source (1 week)

Revision as of 14:59, 11 November 2010

  • Team Members: Chady Gemayel
  • PhD Supervisor: Murat Akcakaya
  • Faculty Supervisor: Arye Nehorai
  • Goal: Implement Automated Mobile Source Localization Methods
  • Meetings
    • Thursday 8:30 AM - 10:00 AM
    • Friday 1:00 PM - 2:30 PM

  • Status
    • As of November 11, we have accomplished the following:
      • Successfully coded and implemented the automation algorithm (9 weeks)
        • We initially had code that was able to find the sound source autonomously successfully only for one iteration
          • We realized that this was insufficient. The first iteration was in general quite innacurate, do to the inherent lack of resolution in the system. The solution to this problem was to have the platforms repeat this automation independantly
        • The first few weeks was spent implementing automation logic that would move the automated platforms through sufficient iterations until a certain threshold had been achieved
        • The majority of the time was spent troubleshooting this code, finding small bugs and errors that explained erratas in their behaviour
      • Created poster, prepared demo and presentation for UGR Symposium (1 week)
      • Made video and short presentation of mobile platforms autonomously locating accoustic source (1 week)