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Zeng et al., 2017 - Google Patents

Multi-view self-supervised deep learning for 6d pose estimation in the amazon picking challenge

Zeng et al., 2017

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Document ID
11422501627734358093
Author
Zeng A
Yu K
Song S
Suo D
Walker E
Rodriguez A
Xiao J
Publication year
Publication venue
2017 IEEE international conference on robotics and automation (ICRA)

External Links

Snippet

Robot warehouse automation has attracted significant interest in recent years, perhaps most visibly in the Amazon Picking Challenge (APC)[1]. A fully autonomous warehouse pick-and- place system requires robust vision that reliably recognizes and locates objects amid …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6201—Matching; Proximity measures
    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00664—Recognising scenes such as could be captured by a camera operated by a pedestrian or robot, including objects at substantially different ranges from the camera
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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