Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Danut Ovidiu Pop"'
Publikováno v:
IEEE Access, Vol 9, Pp 8625-8636 (2021)
Detecting pedestrians at high speed in high resolution (HR) images is important for preventing collisions in autonomous vehicle. The HR images provide more detail information while creating a heavy computational load, resulting in slower detection sp
Externí odkaz:
https://doaj.org/article/e827ebcaec67480ab04098b43a1f0524
Autor:
Danut Ovidiu Pop, Alexandrina Rogozan, Clement Chatelain, Fawzi Nashashibi, Abdelaziz Bensrhair
Publikováno v:
IEEE Access, Vol 7, Pp 149318-149327 (2019)
A pedestrian detection system is a crucial component of advanced driver assistance systems since it contributes to road flow safety. The safety of traffic participants could be significantly improved if these systems could also predict and recognize
Externí odkaz:
https://doaj.org/article/65025621f37046de90b5199637a83ed4
Publikováno v:
IEEE Intelligent Transportation Systems Magazine
IEEE Intelligent Transportation Systems Magazine, IEEE, 2019
IEEE Intelligent Transportation Systems Magazine, 2019, ⟨10.1109/MITS.2019.2926364⟩
IEEE Intelligent Transportation Systems Magazine, IEEE, 2019
IEEE Intelligent Transportation Systems Magazine, 2019, ⟨10.1109/MITS.2019.2926364⟩
International audience; The combination of multi-modal image fusion schemes with deep learning classification methods, and particularly with Convolutional Neural Networks (CNNs) has achieved remarkable performances in the pedestrian detection field.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca313d8727f5131c344ce495324f8aac
https://doi.org/10.1109/mits.2019.2926364
https://doi.org/10.1109/mits.2019.2926364
Publikováno v:
IEEE Access, Vol 9, Pp 8625-8636 (2021)
Detecting pedestrians at high speed in high resolution (HR) images is important for preventing collisions in autonomous vehicle. The HR images provide more detail information while creating a heavy computational load, resulting in slower detection sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17511e4e83bbd99aa4aa0519e3bfca26
https://ieeexplore.ieee.org/document/9314177/
https://ieeexplore.ieee.org/document/9314177/
Autor:
Danut Ovidiu Pop
Publikováno v:
Studia Universitatis Babeş-Bolyai. Informatica
Studia Universitatis Babeş-Bolyai. Informatica, Babeș-Bolyai University, 2019
Studia Universitatis Babes-Bolyai. Informatica
Studia Universitatis Babes-Bolyai. Informatica, 2019, ⟨10.24193/subbi.2019.2.01⟩
Studia Universitatis Babeş-Bolyai. Informatica, Babeș-Bolyai University, 2019
Studia Universitatis Babes-Bolyai. Informatica
Studia Universitatis Babes-Bolyai. Informatica, 2019, ⟨10.24193/subbi.2019.2.01⟩
International audience; The pedestrian detection has attracted considerable attention from research due to its vast applicability in the field of autonomous vehicles. In the last decade, various investigations were made to find an optimal solution to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aaf24beaeda55fdfe450dcbfd4d2f47f
https://hal.inria.fr/hal-02414015/file/Studia.pdf
https://hal.inria.fr/hal-02414015/file/Studia.pdf
Publikováno v:
IEEE International Conference on Vehicular Electronics and Safety
IEEE International Conference on Vehicular Electronics and Safety, Jun 2017, Vienna, Austria. ⟨10.1109/ICVES.2017.7991914⟩
ICVES
IEEE International Conference on Vehicular Electronics and Safety, Jun 2017, Vienna, Austria
IEEE International Conference on Vehicular Electronics and Safety, Jun 2017, Vienna, Austria. ⟨10.1109/ICVES.2017.7991914⟩
ICVES
IEEE International Conference on Vehicular Electronics and Safety, Jun 2017, Vienna, Austria
International audience; A wide variety of approaches have been proposed for pedestrian detection in the last decay and it still remains an open challenge due to its outstanding importance in the field of automotive. In recent years, deep learning cla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad8df4b4b5928bfab98f9b9909f7d535
https://inria.hal.science/hal-01588441/file/ICVES.pdf
https://inria.hal.science/hal-01588441/file/ICVES.pdf
Publikováno v:
IV'17-IEEE Intelligent Vehicles Symposium
IV'17-IEEE Intelligent Vehicles Symposium, Jun 2017, Redondo Beach, CA, United States
Intelligent Vehicles Symposium
IV'17-IEEE Intelligent Vehicles Symposium, Jun 2017, Redondo Beach, CA, United States. ⟨10.1109/IVS.2017.7995771⟩
IV'17-IEEE Intelligent Vehicles Symposium, Jun 2017, Redondo Beach, CA, United States
Intelligent Vehicles Symposium
IV'17-IEEE Intelligent Vehicles Symposium, Jun 2017, Redondo Beach, CA, United States. ⟨10.1109/IVS.2017.7995771⟩
International audience; In spite of the large amount of existent methods, pedestrian detection is still an open challenge. In recent years, deep learning classification methods combined with multi-modality images within different fusion schemes achie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddf37dd1e53aa05985b26022c3145f2b
https://hal.inria.fr/hal-01501711v3/document
https://hal.inria.fr/hal-01501711v3/document