Progress for week 48 (2015)

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=== Budget ===
=== Budget ===
* Full design in robdyn
* Full design in robdyn
-
* Sferes2 integration
+
* Start on Sferes2 integration?
=== Accounting ===
=== Accounting ===
-
 
+
* Have full design with a good idea of how the system works
 +
* Began working on a parameter-based environment (i.e generating terrain roughness and obstacles)
== [[user:Eirisu|Eirik]] ==
== [[user:Eirisu|Eirik]] ==
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** (Standard Deviation)/(Range)
** (Standard Deviation)/(Range)
-
=== Accounting ==='
+
=== Accounting ===
-
 
+
* Done 1, skipped range-filter, because of simmilarity to standard deviation filter.
-
 
+
* Done 2, the algorithm can now process approximately 20 frames per second.
 +
* Also discovered an error in my algorithm for [http://robin.wiki.ifi.uio.no/Bruker:Eirisu#Improvement_by_Forwarding_Samples forwarding samples], correction boosted accuracy somewhat.
== Magnus ==
== Magnus ==
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=== Accounting ===
=== Accounting ===
-
* Done 1
+
* Finished
-
* Done 2
+
* Started
 +
* Started
 +
* Also made sketch of the results i want
 +
 
 +
 
 +
== [[user:perwn|Per]] ==
 +
=== Budget ===
 +
* DAQ in SF
 +
 
 +
=== Accounting ===
 +
* Done with most of the DAQ
 +
- Due to some changes in the product I need some more data
 +
- My intern at ChemiSense will gather that for me
 +
- I have started a partnership with Morgam Kjølerbakken and Stian Aldrin at NILU and will probably do some work at their labs with supervision from Stian in machine learning in sensor analysis.
 +
* Fitted regression for the temperature compensation and referance sensor for CO sensor.
 +
* Write 3-5 pages about DAQ process

Current revision as of 10:21, 1 December 2015

Contents

Student template (copy this for your entry)

Budget

  • Todo 1
  • Todo 2

Accounting

  • Done 1
  • Done 2

Fredrik

Budget

  • Full design in robdyn
  • Start on Sferes2 integration?

Accounting

  • Have full design with a good idea of how the system works
  • Began working on a parameter-based environment (i.e generating terrain roughness and obstacles)

Eirik

Budget

  • Implement functions for the image texture features entropy, standard deviation and range in C++.
  • Optimize processing speed of the method for estimating road with single-gauss, based on the 5-dimensional feature space:
    • Red-Channel
    • Green-Channel
    • Blue-Channel
    • Illumination-Invariant Image
    • Entropy
    • (Standard Deviation)/(Range)

Accounting

  • Done 1, skipped range-filter, because of simmilarity to standard deviation filter.
  • Done 2, the algorithm can now process approximately 20 frames per second.
  • Also discovered an error in my algorithm for forwarding samples, correction boosted accuracy somewhat.

Magnus

Budget

  • Finish script for creating time series
  • Finish script for performance measure
  • Finish script for plotting results

Accounting

  • Finished
  • Started
  • Started
  • Also made sketch of the results i want


Per

Budget

  • DAQ in SF

Accounting

  • Done with most of the DAQ
- Due to some changes in the product I need some more data
- My intern at ChemiSense will gather that for me
- I have started a partnership with Morgam Kjølerbakken and Stian Aldrin at NILU and will probably do some work at their labs with supervision from Stian in machine learning in sensor analysis.
  • Fitted regression for the temperature compensation and referance sensor for CO sensor.
  • Write 3-5 pages about DAQ process
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