Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Pietro Cerri"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2010 (2010)
This paper presents two different modules for the validation of human shape presence in far-infrared images. These modules are part of a more complex system aimed at the detection of pedestrians by means of the simultaneous use of two stereo vision s
Externí odkaz:
https://doaj.org/article/e4b2f3d052a24ad1a2a95e41f561cbb2
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0723dcc4ca8887307949507d2f21d8b3
https://doi.org/10.1109/tpami.2023.3257486
https://doi.org/10.1109/tpami.2023.3257486
Publikováno v:
CVPR 2021-IEEE Conference on Computer Vision and Pattern Recognition
CVPR 2021-IEEE Conference on Computer Vision and Pattern Recognition, Jun 2021, Online, France
CVPR
CVPR 2021-IEEE Conference on Computer Vision and Pattern Recognition, Jun 2021, Online, France
CVPR
CoMoGAN is a continuous GAN relying on the unsupervised reorganization of the target data on a functional manifold. To that matter, we introduce a new Functional Instance Normalization layer and residual mechanism, which together disentangle image co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ba21384335cf7a3531e1408d0d11e34
http://arxiv.org/abs/2103.06879
http://arxiv.org/abs/2103.06879
Publikováno v:
ECCV 2020-European Conference on Computer Vision
ECCV 2020-European Conference on Computer Vision, Aug 2020, Glasgow / Virtual, United Kingdom
Computer Vision – ECCV 2020 ISBN: 9783030585648
ECCV (20)
ECCV 2020-European Conference on Computer Vision, Aug 2020, Glasgow / Virtual, United Kingdom
Computer Vision – ECCV 2020 ISBN: 9783030585648
ECCV (20)
Image-to-image translation is affected by entanglement phenomena, which may occur in case of target data encompassing occlusions such as raindrops, dirt, etc. Our unsupervised model-based learning disentangles scene and occlusions, while benefiting f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52c57e53d79709b5732acf1b26b32e38
https://hal.archives-ouvertes.fr/hal-02947036
https://hal.archives-ouvertes.fr/hal-02947036
Autor:
Pietro Cerri, Rafael Peixoto Derenzi Vivacqua, Raquel Frizera Vassallo, Massimo Bertozzi, Felipe Nascimento Martins
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems, 19(2):2, 582-597. IEEE Computer Society
Autonomous driving in public roads requires precise localization within the range of few centimeters. Even the best localization systems based on GNSS cannot always reach this level of precision, especially in an urban environment, where the signal i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5f1a3de43c0733eebb98a30de7afed5
https://www.mendeley.com/catalogue/11190bcb-6e6c-3ecd-9f29-c2223b9936d2/
https://www.mendeley.com/catalogue/11190bcb-6e6c-3ecd-9f29-c2223b9936d2/
Publikováno v:
Expert Systems with Applications. 91:472-479
Novel advance driver assistance systems, such as emergency braking and adaptive cruise control require the most reliable detection algorithms. Furthermore, in the recent years, the use of computer vision approaches in these type of applications is be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3544f45cc5b360b83e85f0bf39b90309
https://doi.org/10.1016/j.eswa.2017.09.018
https://doi.org/10.1016/j.eswa.2017.09.018
Publikováno v:
Computer Aided Systems Theory – EUROCAST 2019 ISBN: 9783030450953
EUROCAST (2)
EUROCAST (2)
Obstacle detection is a fundamental problem in autonomous driving. The most common solutions share the idea of modeling the free-space and marking as obstacles all the points that lie outside this model according to a threshold. Manually setting this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::428860c319c3204859407e242681e894
https://doi.org/10.1007/978-3-030-45096-0_11
https://doi.org/10.1007/978-3-030-45096-0_11
Publikováno v:
Winter Conference on Applications of Computer Vision (WACV ’20)
Winter Conference on Applications of Computer Vision (WACV ’20), Mar 2020, Snowmass, United States. ⟨10.1109/WACV45572.2020.9093540⟩
WACV
Winter Conference on Applications of Computer Vision (WACV ’20), Mar 2020, Snowmass, United States. ⟨10.1109/WACV45572.2020.9093540⟩
WACV
Image-to-image translation architectures may have limited effectiveness in some circumstances. For example, while generating rainy scenarios, they may fail to model typical traits of rain as water drops, and this ultimately impacts the synthetic imag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4c5eee5294fadb8f80aed858bd87b81
Autor:
Stefano Debattisti, Daniele Molinari, Antonio Prioletti, Paolo Medici, Matteo Panciroli, Maria Chiara Laghi, Pietro Cerri, Alberto Broggi
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 16:3508-3519
This paper presents an autonomous driving test held in Parma on urban roads and freeways open to regular traffic. During this test, the vehicle not only performed simple maneuvers, but it had to cope with complex driving scenarios as well, including
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01d58b27ed794f1ede5f857bea7974fe
https://doi.org/10.1109/tits.2015.2477556
https://doi.org/10.1109/tits.2015.2477556
Publikováno v:
Expert Systems with Applications. 42:4167-4176
We detect moving objects in roundabouts, regardless of their movement's pattern.A well-tuned combination of feature detection and pattern recognition is used.It is developed on GOLD platform and is tested on BRAiVE.The results are satisfying in terms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5855683921f30f25e308e18ff5c8e22
https://doi.org/10.1016/j.eswa.2015.01.032
https://doi.org/10.1016/j.eswa.2015.01.032