ECE597 Project Auto HUD

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Revision as of 18:10, 19 May 2010 by Routhcr (Talk | contribs)

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Project Overview

The goal of this project is to use the beagle board to run image recognition on a camera feed located inside a car, and then signaling to the driver via a pico projector various objects of interest.

Team Members

Chris Routh

J. Cody Collins

Greg Jackson

Keqiong Xin

Steps

  • Create Minimal Linux Image that can run OpenCV and run the display
  • Determine hardware needed for the project
  • Work on getting a camera functioning on the beagle board
  • OpenCV running nativly on beagle with min config
  • OpenCV working on video stream
  • Projector working on Beagle
  • Car integration (power)
  • Algorithm development

Installing OpenCV (Development Machine)

This is a script that will install OpenCV on a debian-based development machine. The script will add the debian testing repositories and install OpenCV and its dependencies. The repositories are then removed to avoid conflicts with existing packages during regular updates.

#!/bin/bash

echo "deb http://mirrors.kernel.org/debian/ testing main" > /tmp/opencv-temp.list 
echo "deb-src http://mirrors.kernel.org/debian/ testing main" >> /tmp/opencv-temp.list
sudo mv /tmp/opencv-temp.list /etc/apt/sources.list.d/opencv-temp.list

sudo apt-get update
sudo apt-get install -y --allow-unauthenticated libcv4 libcv-dev libhighgui4 libhighgui-dev libcvaux4 libcvaux-dev

sudo rm -f /etc/apt/sources.list.d/opencv-temp.list

sudo apt-get update

Installing OpenCV on the Beagle

Add information from notes here.

OpenCV Haar Training

Display Buffer Mapping

Pico Projector Integration

As of revision C4 of the Beagleboard there is no necessary configuration needed to display native resolution on the projector.