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Manglik et al., 2019 - Google Patents

Forecasting time-to-collision from monocular video: Feasibility, dataset, and challenges

Manglik et al., 2019

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Document ID
5322001334901373751
Author
Manglik A
Weng X
Ohn-Bar E
Kitanil K
Publication year
Publication venue
2019 ieee/rsj international conference on intelligent robots and systems (iros)

External Links

Snippet

We explore the possibility of using a single monocular camera to forecast the time to collision between a suitcase-shaped robot being pushed by its user and other nearby pedestrians. We develop a purely image-based deep learning approach that directly …
Continue reading at arxiv.org (PDF) (other versions)

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    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00771Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
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    • G06K9/32Aligning or centering of the image pick-up or image-field
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    • G06K9/3241Recognising objects as potential recognition candidates based on visual cues, e.g. shape
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    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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