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Marginean et al., 2019 - Google Patents

Understanding pedestrian behaviour with pose estimation and recurrent networks

Marginean et al., 2019

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Document ID
15991733677384296894
Author
Marginean A
Brehar R
Negru M
Publication year
Publication venue
2019 6th International Symposium on Electrical and Electronics Engineering (ISEEE)

External Links

Snippet

Early detection of pedestrians, quick understanding of their behavior and prediction of their intention are of extreme importance in the quest to the 5th level of autonomous driving. The development of deep learning techniques for pose estimation, both in terms of quality and …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06K9/00771—Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
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    • G06K9/00791—Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
    • G06K9/00805—Detecting potential obstacles
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/00362—Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand
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