Go to main content

PDF

Description

In this report, we present research toward a vision-based landing system for unmanned rotorcraft in unknown terrain that is centered around our Recursive Multi-Frame Planar Parallax algorithm for high-accuracy terrain mapping. We give an in-depth description of the vision system, an overview of our experimental platforms, and both synthetic and experimental terrain mapping results.

Details

Title
Autonomous Vision-based Rotorcraft Landing and Accurate Aerial Terrain Mapping in an Unknown Environment
Creator
Templeton, Todd Russell, Author
EECS Department, University of California, Publisher
Published
2007-01-22
Full Collection Name
Electrical Engineering & Computer Sciences Technical Reports
Other Identifiers
EECS-2007-18
Type
Text
Format
technical reports
Extent
91 p
Archive
The Engineering Library
Usage Statement
Researchers may make free and open use of the UC Berkeley Library’s digitized public domain materials. However, some materials in our online collections may be protected by U.S. copyright law (Title 17, U.S.C.). Use or reproduction of materials protected by copyright beyond that allowed by fair use (Title 17, U.S.C. § 107) requires permission from the copyright owners. The use or reproduction of some materials may also be restricted by terms of University of California gift or purchase agreements, privacy and publicity rights, or trademark law. Responsibility for determining rights status and permissibility of any use or reproduction rests exclusively with the researcher. To learn more or make inquiries, please see our permissions policies (https://www.lib.berkeley.edu/about/permissions-policies).
Collection

Files

Statistics

from
to
Export
Download Full History
Download
Formats
Format
BibTeX
MARCXML
TextMARC
MARC
DublinCore
EndNote
NLM
RefWorks
RIS
Add to Basket