Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Musallam, Mohamed Adel"'
The volume of space debris currently orbiting the Earth is reaching an unsustainable level at an accelerated pace. The detection, tracking, identification, and differentiation between orbit-defined, registered spacecraft, and rogue/inactive space ``o
Externí odkaz:
http://arxiv.org/abs/2308.00408
Visual place recognition is a key to unlocking spatial navigation for animals, humans and robots. While state-of-the-art approaches are trained in a supervised manner and therefore hardly capture the information needed for generalizing to unusual con
Externí odkaz:
http://arxiv.org/abs/2303.02370
Autor:
Gaudillière, Vincent, Pauly, Leo, Rathinam, Arunkumar, Sanchez, Albert Garcia, Musallam, Mohamed Adel, Aouada, Djamila
To automatically localize a target object in an image is crucial for many computer vision applications. To represent the 2D object, ellipse labels have recently been identified as a promising alternative to axis-aligned bounding boxes. This paper fur
Externí odkaz:
http://arxiv.org/abs/2303.02058
Autor:
Musallam, Mohamed Adel, Gaudilliere, Vincent, del Castillo, Miguel Ortiz, Ismaeil, Kassem Al, Aouada, Djamila
While end-to-end approaches have achieved state-of-the-art performance in many perception tasks, they are not yet able to compete with 3D geometry-based methods in pose estimation. Moreover, absolute pose regression has been shown to be more related
Externí odkaz:
http://arxiv.org/abs/2204.02163
Autor:
Garcia, Albert, Musallam, Mohamed Adel, Gaudilliere, Vincent, Ghorbel, Enjie, Ismaeil, Kassem Al, Perez, Marcos, Aouada, Djamila
Publikováno v:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2021) p. 2048-2056
Being capable of estimating the pose of uncooperative objects in space has been proposed as a key asset for enabling safe close-proximity operations such as space rendezvous, in-orbit servicing and active debris removal. Usual approaches for pose est
Externí odkaz:
http://arxiv.org/abs/2104.09248
Autor:
Musallam, Mohamed Adel, Ismaeil, Kassem Al, Oyedotun, Oyebade, Perez, Marcos Damian, Poucet, Michel, Aouada, Djamila
This paper proposes the SPARK dataset as a new unique space object multi-modal image dataset. Image-based object recognition is an important component of Space Situational Awareness, especially for applications such as on-orbit servicing, active debr
Externí odkaz:
http://arxiv.org/abs/2104.05978