Pushbroom stereo for high-speed navigation in cluttered environments
We present a novel stereo vision algorithm that is capable of obstacle detection on a mobile ARM processor at 120 frames per second. Our system performs a subset of standard block-matching stereo processing, searching only for obstacles at a single depth. By using an onboard IMU and state-estimator,...
Main Authors: | Barry, Andrew J. (Contributor), Tedrake, Russell Louis (Contributor) |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor) |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2016-02-03T16:27:48Z.
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Subjects: | |
Online Access: | Get fulltext |
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