Autonomous Vision-based Rotorcraft Landing and Accurate Aerial Terrain Mapping in an Unknown Environment
Todd Templeton
EECS Department
University of California, Berkeley
Technical Report No. UCB/EECS-2007-18
January 22, 2007
http://www.eecs.berkeley.edu/Pubs/TechRpts/2007/EECS-2007-18.pdf
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.
Advisor: S. Shankar Sastry
BibTeX citation:
@mastersthesis{Templeton:EECS-2007-18,
Author = {Templeton, Todd},
Title = {Autonomous Vision-based Rotorcraft Landing and Accurate Aerial Terrain Mapping in an Unknown Environment},
School = {EECS Department, University of California, Berkeley},
Year = {2007},
Month = {Jan},
URL = {http://www.eecs.berkeley.edu/Pubs/TechRpts/2007/EECS-2007-18.html},
Number = {UCB/EECS-2007-18},
Abstract = {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.}
}
EndNote citation:
%0 Thesis %A Templeton, Todd %T Autonomous Vision-based Rotorcraft Landing and Accurate Aerial Terrain Mapping in an Unknown Environment %I EECS Department, University of California, Berkeley %D 2007 %8 January 22 %@ UCB/EECS-2007-18 %U http://www.eecs.berkeley.edu/Pubs/TechRpts/2007/EECS-2007-18.html %F Templeton:EECS-2007-18