Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Abbas Sadat"'
Publikováno v:
Journal of Midwifery & Reproductive Health, Vol 12, Iss 3, Pp 4329-4345 (2024)
Background & aim: The intrauterine device (IUD) is a widely used reversible contraceptive with risks such as expulsion or infection, necessitating informed consent. There is a gap in studies on informed consent forms for IUD placement. This study use
Externí odkaz:
https://doaj.org/article/7f02057016ca47649acb5bba6cd7868d
Publikováno v:
Journal of Mashhad Dental School, Vol 47, Iss 3, Pp 323-336 (2023)
Background: Adherence to the principles of professional ethics, rules and regulations of the medical profession and patients' rights are prerequisites for providing dental care. Therefore, the present study was conducted to investigate the level of e
Externí odkaz:
https://doaj.org/article/47800509e5764a9696f4786185654190
Autor:
Jalil Modaresi, Zahra Almodaresi, Rahele Mousavi, Alireza Mirzaeeian, Said Abbas Sadat Hosseini
Publikováno v:
Dental Research Journal, Vol 18, Iss 1, Pp 77-77 (2021)
One of the causes of treatment failure is calcification in the canal pathway, which prevents complete access to proper working length, and one of the most difficult and challenging cases of root canal treatment has been reported. In some cases, the d
Externí odkaz:
https://doaj.org/article/a7afcd33e03e45b2ab290d7e7c2f4e47
Autor:
Abbas Sadat, Raquel Urtasun, Julieta Martinez, John Phillips, Ioan Andrei Barsan, Sergio Casas
Publikováno v:
CVPR
Over the last few years, we have witnessed tremendous progress on many subtasks of autonomous driving, including perception, motion forecasting, and motion planning. However, these systems often assume that the car is accurately localized against a h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7bcdc44bd5a3ab9db1c98bdabc554f3
https://doi.org/10.1109/cvpr46437.2021.00465
https://doi.org/10.1109/cvpr46437.2021.00465
Publikováno v:
CVPR
High-definition maps (HD maps) are a key component of most modern self-driving systems due to their valuable semantic and geometric information. Unfortunately, building HD maps has proven hard to scale due to their cost as well as the requirements th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5840707a70663b8c7cb7d63da49c79ce
https://doi.org/10.1109/cvpr46437.2021.01417
https://doi.org/10.1109/cvpr46437.2021.01417
Autor:
James Tu, Raquel Urtasun, Mengye Ren, Sivabalan Manivasagam, Ava Pun, Abbas Sadat, Jingkang Wang, Sergio Casas
Publikováno v:
CVPR
As self-driving systems become better, simulating scenarios where the autonomy stack may fail becomes more important. Traditionally, those scenarios are generated for a few scenes with respect to the planning module that takes ground-truth actor stat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52ca248a9251d551d2613cf5f75f4bf5
http://arxiv.org/abs/2101.06549
http://arxiv.org/abs/2101.06549
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585730
ECCV (26)
ECCV (26)
We present a novel method for testing the safety of self-driving vehicles in simulation. We propose an alternative to sensor simulation, as sensor simulation is expensive and has large domain gaps. Instead, we directly simulate the outputs of the sel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5311efce6d1aae0d64d109be5596b041
https://doi.org/10.1007/978-3-030-58574-7_19
https://doi.org/10.1007/978-3-030-58574-7_19
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585914
ECCV (23)
ECCV (23)
In this paper we propose a novel end-to-end learnable network that performs joint perception, prediction and motion planning for self-driving vehicles and produces interpretable intermediate representations. Unlike existing neural motion planners, ou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d644f7cd18e501d50bef73ac655b4c91
https://doi.org/10.1007/978-3-030-58592-1_25
https://doi.org/10.1007/978-3-030-58592-1_25
Akademický článek
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Publikováno v:
IROS
The motion planners used in self-driving vehicles need to generate trajectories that are safe, comfortable, and obey the traffic rules. This is usually achieved by two modules: behavior planner, which handles high-level decisions and produces a coars
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4648cbf3213eb900f24564e94fa0bd9
http://arxiv.org/abs/1910.04586
http://arxiv.org/abs/1910.04586