Efficient GEMM Implementation for Vision-Based Object Detection in Autonomous Driving Applications

Autor: Ramzi, Fatima Zahra Guerrouj, Sergio Rodríguez Flórez, Mohamed Abouzahir, Abdelhafid El Ouardi, Mustapha

Publikováno v: Journal of Low Power Electronics and Applications; Volume 13; Issue 2; Pages: 40

Convolutional Neural Networks (CNNs) have been incredibly effective for object detection tasks. YOLOv4 is a state-of-the-art object detection algorithm designed for embedded systems. It is based on YOLOv3 and has improved accuracy, speed, and robustn

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=multidiscipl::824f8cb9fc009123c8a12466e3df2db6

Schwannoma of the Median Nerve: Diagnosis Sometimes Delayed

Autor: Monsef Boufettal, Mohamed Azouz, Abdelkarim Rhanim, Mohamed Abouzahir, Mustapha Mahfoud, Ahmed El Bardouni, Mohamed S. Berrada, Moradh El Yaacoubi

Publikováno v: Clinical Medicine Insights: Case Reports, Vol 2014, Iss 7, Pp 71-73 (2014)

Externí odkaz: https://doaj.org/article/0a3b5ea9454f45f28cb7c6241849aa56

ORB-SLAM accelerated on heterogeneous parallel architectures

Autor: Mohamed Abouzahir, Rachid Latif, Ayoub Mamri, Mustapha Ramzi

Publikováno v: E3S Web of Conferences, Vol 229, p 01055 (2021)

SLAM algorithm permits the robot to cartography the desired environment while positioning it in space. It is a more efficient system and more accredited by autonomous vehicle navigation and robotic application in the ongoing research. Except it did n

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24c8ae975fcf40168108943f79c77de9
https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/05/e3sconf_iccsre2021_01055.pdf

OpenCL and OpenGL Implementation of Simultaneous Localization and Mapping Algorithm using High-End GPU

Autor: Mohamed Abouzahir, Rachid Latif, Mustapha Ramzi, Mohammed Sbihi

Publikováno v: ITM Web of Conferences. 46:04001

Simultaneous Localization And Mapping (SLAM) algorithms are being used in many robotic applications and autonomous navigation systems. The FastSLAM2.0 addresses an issue of the SLAM problem and allows a robot to navigate in an unknown environment. Se

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3d9af5a8ced9f0e6669711a04b23f97d
https://doi.org/10.1051/itmconf/20224604001

Large-scale monocular FastSLAM2.0 acceleration on an embedded heterogeneous architecture

Autor: Rachid Latif, Mohamed Abouzahir, Samir Bouaziz, Abdelhafid Elouardi, Abdelouahed Tajer

Publikováno v: EURASIP Journal on Advances in Signal Processing
EURASIP Journal on Advances in Signal Processing, SpringerOpen, 2016, 2016 (1), ⟨10.1186/s13634-016-0386-3⟩

Simultaneous localization and mapping (SLAM) is widely used in many robotic applications and autonomous navigation. This paper presents a study of FastSLAM2.0 computational complexity based on a monocular vision system. The algorithm is intended to o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::890345a74ab97213a707a1c60ee82647
https://hal.archives-ouvertes.fr/hal-01684809