Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Bonardi, Fabien"'
Publikováno v:
Vol.0, 2024
This paper presents a robust approach for a visual parallel tracking and mapping (PTAM) system that excels in challenging environments. Our proposed method combines the strengths of heterogeneous multi-modal visual sensors, including stereo event-bas
Externí odkaz:
http://arxiv.org/abs/2306.01891
Publikováno v:
J Intell Robot Syst 106, 53 (2022)
The development process of high-fidelity SLAM systems depends on their validation upon reliable datasets. Towards this goal, we propose IBISCape, a simulated benchmark that includes data synchronization and acquisition APIs for telemetry from heterog
Externí odkaz:
http://arxiv.org/abs/2206.13455
With the advent of neuromorphic vision sensors such as event-based cameras, a paradigm shift is required for most computer vision algorithms. Among these algorithms, optical flow estimation is a prime candidate for this process considering that it is
Externí odkaz:
http://arxiv.org/abs/2105.03760
Autor:
Bonardi, Fabien
On regroupe sous l’expression navigation autonome l’ensemble des méthodes visantà automatiser les déplacements d’un robot mobile. Les travaux présentés seconcentrent sur la problématique de la localisation en milieu extérieur, urbain etp
Externí odkaz:
http://www.theses.fr/2017NORMR028/document
Autor:
Debroux, Noémie, Aston, John, Bonardi, Fabien, Forbes, Alistair, Guyader, Carole Le, Romanchikova, Marina, Schönlieb, Carola
In medical image analysis, constructing an atlas, i.e. a mean representative of an ensemble of images, is a critical task for practitioners to estimate variability of shapes inside a population, and to characterise and understand how structural shape
Externí odkaz:
http://arxiv.org/abs/1907.01840
Publikováno v:
In Pattern Recognition May 2023 137
Akademický článek
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Akademický článek
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Publikováno v:
26TH International Conference on Pattern Recognition (ICPR 2022)
26TH International Conference on Pattern Recognition (ICPR 2022), Aug 2022, Montreal, Canada. pp.2539--2545
26TH International Conference on Pattern Recognition (ICPR 2022), Aug 2022, Montreal, Canada. pp.2539--2545
International audience; Multi-modal scene parsing is a prevalent topic in robotics and autonomous driving since the knowledge of different modalities can complement each other. Recently, the success of self-attention-based methods has demonstrated th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4047::4df6702f042269e765e1e564852fe233
https://hal-univ-evry.archives-ouvertes.fr/hal-03719440/document
https://hal-univ-evry.archives-ouvertes.fr/hal-03719440/document
Publikováno v:
26th International Conference on Pattern Recognition (ICPR 2022)
26th International Conference on Pattern Recognition (ICPR 2022), Aug 2022, Montreal, Canada. pp.3603--3610, ⟨10.1109/ICPR56361.2022.9956502⟩
26th International Conference on Pattern Recognition (ICPR 2022), Aug 2022, Montreal, Canada. pp.3603--3610, ⟨10.1109/ICPR56361.2022.9956502⟩
The emergence of neuromorphic vision sensors (also known as event-based cameras) revolutionized computer vision algorithms in the field of robotics. However, the pixel-independent nature of events and the lack of photometric information raised new ch