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Maximizing Miniature Aerial Vehicles Obstacle and Terrain Avoidance for MAVs BY STEPHEN GRIFFITHS, JEFF SAUNDERS, ANDREW CURTIS, BLAKE BARBER, TIM MCLAIN, AND RANDY BEARD
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Document Date: 2010-01-10 09:36:34


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File Size: 2,39 MB

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Provo / Barcelona / Woburn / Minneapolis / New Orleans / London / San Diego / /

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Jet Propulsion Laboratory / Agilent / Scientific Systems Company Inc. / Procerus Technologies / Air Force Research Laboratory / Biomimetic / IEEE Control Systems Magazine / /

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Facility

Stanford University / BYU campus / Kimball Tower / California Institute of Technology / Rensselaer Polytechnic Institute / Jet Propulsion Laboratory / Brigham Young University / Air Force Research Laboratory / /

IndustryTerm

intelligent and autonomous control systems / navigation algorithms / on computing resources / path planning algorithms / Possible applications / reactive avoidance algorithm / metal-oxide semiHz / flight control algorithms / potential applications / Civil and commercial applications / rural search / bank / optical mouse chip / Technology advancements / nonlinear systems / search space / control algorithms / vision processing techniques / bit processor / sion avoidance algorithms / Obstacle avoidance algorithm / data acquisition device / robotic systems / flight test site / communications relays / law enforcement officers / open-loop solution / terrain navigation systems / computation hardware / obstacle avoidance algorithms / search tree / collision avoidance algorithms / avoidance algorithms / ad hoc communications networks / /

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Goshen Canyon / Test Results Goshen Canyon / /

Organization

IEEE and AIAA / Rensselaer Polytechnic Institute / AIAA Unmanned Systems Program Committee / Air Force office of Scientific Research / BYU MAGICC Lab / Electrical and Computer Engineering Department / Iowa State Univ. / Defense Advance Research Projects Agency / California Institute of Technology / Computer Engineering Department / Brigham Young Univ. / Department of Mechanical Engineering / Air Force Research Laboratory Air Vehicles Directorate / Brigham Young University / Department of Electrical and Computer Engineering / Stanford University / mechanical engineering department at Brigham Young University / Department of Electrical and Computer Engineering at Brigham Young University / /

Person

ANDREW CURTIS / RANDY BEARD / JEFF SAUNDERS / H. Tanner / V / Brigham Young Univ / BLAKE BARBER / STEPHEN GRIFFITHS / TIM MCLAIN / /

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Position

visiting scientist / cofounder / reactive planner / visiting researcher / ranger / conductor / associate professor / a priori path planner / laser ranger / associate editor / path planner / member / /

Product

OptiLogic RS400 Laser / MAVs / Kestrel Autopilot version 2.2 / C-0032 / Kestrel Autopilot 2.2 / /

ProvinceOrState

Minnesota / Utah / Massachusetts / /

PublishedMedium

IEEE Control Systems Magazine / /

Region

central Utah / /

SportsLeague

Stanford University / /

Technology

Remote Environment Terrain Avoidance Canyon Navigation Algorithm / sion avoidance algorithms / flight control algorithms / Kestrel Autopilot The collision avoidance algorithms / modified RRT algorithm / optical mouse chip / 2006 The algorithms / RRT algorithm / Obstacle avoidance algorithm / control algorithms / navigation algorithms / path planning algorithms / reactive avoidance algorithm / bit processor / GPS / MAV technology / 3400 29-MHz processor / laser / 2006 Algorithm / avoidance algorithms / obstacle avoidance algorithms / /

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