Zobrazeno 1 - 3
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pro vyhledávání: '"Vaishakh Patil"'
Publikováno v:
IEEE Robotics and Automation Letters. 7:3640-3647
Publikováno v:
CVPR Workshops
We present a self-supervised learning framework to estimate the individual object motion and monocular depth from video. We model the object motion as a 6 degree-of-freedom rigid-body transformation. The instance segmentation mask is leveraged to int
Publikováno v:
IEEE Robotics and Automation Letters, 5 (4)
Autonomous cars need continuously updated depth information. Thus far, depth is mostly estimated independently for a single frame at a time, even if the method starts from video input. Our method produces a time series of depth maps, which makes it a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::822e751132ac6a04e210a05ff3ef0cdb
http://arxiv.org/abs/2001.02613
http://arxiv.org/abs/2001.02613