ECE497 SLAM via ROS - Revision history

Yoder: Removed grade. Moved to Fall2012

2013-05-18T16:21:13Z

Removed grade. Moved to Fall2012

2012-11-05T16:26:39Z

‎Grading Template

2012-11-05T16:25:52Z

‎Highlights

2012-11-05T16:24:26Z

‎Installation Instructions

2012-11-05T16:23:55Z

‎Executive Summary

2012-11-05T16:22:25Z

‎Grading: Added

2012-11-02T17:53:50Z

‎Executive Summary

2012-11-02T17:53:21Z

‎Executive Summary

2012-11-02T17:49:06Z

‎Installation Instructions

2012-11-02T17:46:19Z

‎User Instructions

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-[[Category:ECE497 |Project]]
+[[Category:ECE497Fall2012 |Project]]
 Team members: [[user:whiteer|Elias White]]
 == Executive Summary ==

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 <pre style="color:red">
 Executive Summary
 Installation Instructions
 User Instructions
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 Demo
 Late
-Comments: I'm looking forward to seeing this.
+Comments: Let's talk about this.
-Score:  10/100
+Score:  5/100
 </pre>

← Older revision		Revision as of 16:25, 5 November 2012
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	While there are currently no highlights, this [http://www.youtube.com/watch?feature=player_embedded&v=IMSozUpFFkU video] provides an idea of what I would like to do, although the quality of their results is much higher than I am expecting to achieve.		While there are currently no highlights, this [http://www.youtube.com/watch?feature=player_embedded&v=IMSozUpFFkU video] provides an idea of what I would like to do, although the quality of their results is much higher than I am expecting to achieve.
		+
		+	<span style="color:red">(How much of what's in the video comes with ROS?)</span>

	== Theory of Operation ==		== Theory of Operation ==

← Older revision		Revision as of 16:24, 5 November 2012
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	There are a few fairly large installs (embedded Ubuntu, ROS) required. I'll pretty up the procedure and put throw it up here when I think it is at its most painless.		There are a few fairly large installs (embedded Ubuntu, ROS) required. I'll pretty up the procedure and put throw it up here when I think it is at its most painless.
		+
		+	<span style="color:red">(Do you have a git repository?)</span>

	== User Instructions ==		== User Instructions ==

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 Give two sentence intro to the project.
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 In autonomous navigation understanding the robot's surrounding environment, as well as its position in this environment, is of paramount importance.  This project attempts to leverage the open-source efforts resulting in simultaneous localization and mapping (SLAM) algorithms and use them, in collaboration with the Beagleboard -xm, to develop a 3-D model of the world surrounding the board as it moves through space.  Obviously the more (quality) sensory data used in a SLAM algorithm the better the results, but at this time a camera will be the only sensor device, although there is the possibility of incorporating a gyroscope.  A primary objective of this project is to test the feasibility of using the Beagleboard -xm as the "brain" for an autonomous quad-copter.

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 End with a two sentence conclusion.
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-<!--
+With this project I hope to provide a example for my Aerial-robotics team members to follow and a starting point that leads them to increasingly awesome aerial robotics projects.
-The sentence count is approximate and only to give an idea of the expected length.
--->
 == Installation Instructions ==

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 Give two sentences telling what works.
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 <!--
 Give two sentences telling what isn't working.
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 <!--
 End with a two sentence conclusion.
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 == Installation Instructions ==
 Give step by step instructions on how to install your project on the SPEd2 image.
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 * Include kernel mods.
 * If there is extra hardware needed, include links to where it can be obtained.
 == User Instructions ==

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 == User Instructions ==
 Once everything is installed, how do you use the program?  Give details here, so if you have a long user manual, link to it here.
 == Highlights ==