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City Orlando / Cambridge / ODROID / Dearborn / Chicago / / Company Autonomous Systems / I. Sa / Artificial Intellegence Laboratory / 3D Robotics Inc. / senseFly LTD. / Microsoft Inc. / Intelligent Transportation Systems / Grey Research Inc. / kinectforwindows/ 2 PrimeSense LTD. / Hardkernel co. Ltd. / / Country Germany / United States / China / Singapore / / / Event Man-Made Disaster / / Facility OpenCV Library / Massachusetts Institute of Technology / / IndustryTerm stereo processing / Stereo systems / conventional hardware / machine vision algorithms / real time / monocular vision systems / e-ne / real-time semi / dedicated processors / robotic systems / control tools / block-matching stereo processing / line-based stereo algorithm / search size / Real-time and low latency / commodity graphics hardware / cost computation algorithm / on-board stereo processing results / map-making algorithms / camera-imu systems / online estimation / stereo vision algorithm / pushbroom stereo algorithm / commodity phone hardware / pixel / block-matching algorithms / computer vision hardware / real-time stereo / / MusicGroup U2 / / Organization National Science Foundation / Massachusetts Institute of Technology / Pattern Analysis and Machine Intelligence / / Person A. Kushleyev / V / Andrew Barry / H. He / V / Dobb / / Product Point Grey Firefly MV6 cameras / delta wing / Point Grey Firefly MV6 / / ProgrammingLanguage DC / / ProvinceOrState Illinois / Michigan / Florida / Massachusetts / / Technology FPGA / machine vision algorithms / block-matching algorithms / 3-d / GPS / line-based stereo algorithm / stereo vision algorithm / pushbroom stereo algorithm / Laser / Matching cost computation algorithm / map-making algorithms / mobile ARM processor / Gumstix processor / DSP / / URL http / SocialTag 
Pushbroom Stereo for High-Speed Navigation in Cluttered Environments Andrew J. Barry and Russ Tedrake Abstract— We present a novel stereo vision algorithm that is capable of obstacle detection on a mobile ARM processor