speed vision systems / stereo processing / monocular camera systems / search range / stereo systems / laser ranging systems / indoor and outdoor applications / pushbroom systems / Real-time and low latency / stereo algorithm / robotic applications / vision systems / less computational hardware / camera systems / stereo vision systems / electronics / faster hardware / vision hardware / framerate stereo vision systems / search space / autonomous control systems / pre-processing / development hardware / /
MusicGroup
Institute / /
Organization
National Science Foundation / MIT / Massachusetts Institute of Technology / Institute for Visual Computing / Computer Science Department / /
Person
Dominik Honegger / Andrew Barry / /
Position
forward for fastflying aerial vehicles / /
Product
MAVs / /
ProvinceOrState
Illinois / Oregon / Florida / Massachusetts / /
PublishedMedium
Lecture Notes in Computer Science / /
Technology
FPGA / Visual Computing / GPS / FPGA system / laser / matching algorithm / SGM algorithm / stereo algorithm / second using conventional ARM processors / conventional ARM processors / /
Fast Onboard Stereo Vision for UAVs Andrew J. Barry1 , Helen Oleynikova2 , Dominik Honegger2 , Marc Pollefeys2 , and Russ Tedrake1 I. I NTRODUCTION In the last decade researchers have built incredible new capabilities fo