Accession Number : ADA637136
Title : Autonomous Vision-based Rotorcraft Landing and Accurate Aerial Terrain Mapping in an Unknown Environment
Descriptive Note : Technical rept.
Corporate Author : CALIFORNIA UNIV BERKELEY DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
Personal Author(s) : Templeton, Todd R
Report Date : 22 Jan 2007
Pagination or Media Count : 92
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.
Descriptors : *AUTONOMOUS NAVIGATION , *ROTARY WING AIRCRAFT , *VERTICAL LANDINGS , DIGITAL MAPS , DRONES , TERRAIN MODELS , TOPOGRAPHIC MAPS
Subject Categories : Pilotless Aircraft
Air Navigation and Guidance
Distribution Statement : APPROVED FOR PUBLIC RELEASE