Useful Information for the Project
This page collects useful
information for the class project. The main goal is
ease of update and rapid dissemination of information. If you find useful
information, please send email to Carlo
Tomasi with the following information:
- Category in which to include your information (e.g., GPS, stereo, lane
following, ...; this can be an existing header on this page or a new one).
- A brief paragraph describing the information, and links to it. Please send
me html that I can cut and paste into this page if possible.
GPS
- User
guide for the NavCom SF-2050G GPS system. [Carlo Tomasi]
- A
list of GPS systems made by
Novatel, with performance figures. See in particular the product table on
page 8. The absolute best seems to be the
ProPak LB-Plus
with Omnitel correction (decimeter-level accuracy!). However, the $8,000 price
tag suggests the question "do we really need this accuracy?"
[Carlo Tomasi]
- Novatel software
and manuals
for real-time use of GPS data. [Carlo Tomasi]
- A Novatel
document describing results with RTK (a tracking technique that improves
GPS performance). [Carlo Tomasi]
- A comprehensive discussion
of positioning methods for robots by
J. Borenstein et
al. [Carlo Tomasi]
Stereo
- Background and
specific
information for the Tyzx System. [Carlo Tomasi]
- A recent survey of stereo.
[Shashidhara Ganjugunte]
- Matlab code for the census-transform
stereo matcher and a version that does dynamic programming on top of it. A
README.txt file will tell yo uhow to run the code. Two images are provided for
testing. [Carlo Tomasi]
Software
- Inter-Process Communication (IPC)
code and
information. We can write each basic function as a separate process, so
one bug somewhere does not kill everything. Processes communicate through
Unix-style sockets (supported on both Linux and Windows), managed through the
IPC library. [Carlo Tomasi]
- The Intel Open Source Computer Vision (OpenCV)
library,
efficient code for real-time vision. This is supposed to compile on both
Windows and Linux. [Carlo Tomasi]
- Initial
demonstration of a path planner [Sam Slee]
- Matlab code for reading psm images.
[Carlo Tomasi]
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