Ghadeer Shaaban

ORCID: 0000-0002-3371-0725
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About
Contact & Profiles
Research Areas
  • Target Tracking and Data Fusion in Sensor Networks
  • Inertial Sensor and Navigation
  • Indoor and Outdoor Localization Technologies
  • Cryptographic Implementations and Security
  • Physical Unclonable Functions (PUFs) and Hardware Security
  • Autonomous Vehicle Technology and Safety
  • Astronomical Observations and Instrumentation

Grenoble Images Parole Signal Automatique
2023-2024

Université Grenoble Alpes
2023

Centre National de la Recherche Scientifique
2023

Centre Inria de l'Université Grenoble Alpes
2023

Institut polytechnique de Grenoble
2023

Modern vehicles have evolved from mechanical systems to complex and connected ones controlled by numerous digital computers interconnected through internal networks. While this development has improved their efficiency safety, it also brings new potential risks, particularly cyber-attacks. Several studies explored the security of vehicle dynamics against such threats. Among these dynamics, vehicle's lateral are crucial for maintaining stability control during turns maneuvers, making them a...

10.48550/arxiv.2411.05999 preprint EN arXiv (Cornell University) 2024-11-08

Rotational motion (or attitude) estimation algorithms in navigation rely mainly on measurements from a set of sensors, including magnetometer, gyroscope and accelerometer, also known as magnetic, angular rate, gravity (MARG) sensor array. However, the significant power consumption its intrinsic bias motivate need for more suitable solutions. In this paper, robust two-stage Kalman filter is designed attitude special orthogonal group SO(3), by considering velocity unknown input. The...

10.1109/ipin57070.2023.10332509 preprint EN 2023-09-25

In many applications, attitude estimation algorithms rely mainly on magnetic and inertial measurements from MARG sensors (consisting of a magnetometer, gyroscope, an accelerometer). One the main challenges facing these is that accelerometer measures both gravity unknown external acceleration, while assume only gravity. this letter, algorithm special orthogonal group SO(3) designed, considering acceleration as input with direct feedthrough to output, local approximation approach. The proposed...

10.1109/lcsys.2023.3342855 article EN IEEE Control Systems Letters 2023-01-01
Joaquín Torres-Sospedra Cristiano Pendão Ivo Silva Filipe Meneses Darwin Quezada-Gaibor and 95 more Raúl Montoliu Antonino Crivello Paolo Barsocchi Antoni Pérez-Navarro Adriano Moreira Gustav Lindmark Johannes Nygren Satyam Dwivedi Enhanced Sidelink Ranging Based Carrier Aggregation Franziska Rasp Ernst Eberlein Bastian Perner Elke Roth-Mandutz Susanne Hipp Zhijun Meng Xiaoyu Li Yufeng Zhang Kai Liu Xiye Guo H. J. Yang Testbed Verification Yi Wang Cheng Li Han Wang Peiying Zhu Satinath Debnath Kyle O’Keefe Niclas Joswig Aiden Morrison Nadeza Sokolova Laura Ruotsalainen Positioning Evaluation Fernando Aranda-Polo Jose System Miguel M. Lopez Garcia Poveda Alejandro Gil-Martínez David Cañete Rebenaque José Luís Gómez-Tornero Smartphone Ambient Light Masanori Sugimoto M. Suenaga Hiroki Watanabe M. Nakamura Hiromichi Probabilistic Ray-Tracing Positioning Vincent Corlay Viet-Hoa Nguyen Nicolas Gresset Cristina Ciochina Chris Marshall Erwin Allebes Alireza Sheikh Minyoung Song El Soussi Nick Time Neural Networks Anil Kirmaz Taylan Şahin Diomidis S. Michalopoulos Wolfgang Gerstacker Ghadeer Shaaban Hassen Fourati Alain Y. Kibangou Christophe Prieur Isaac Skog Gustaf Hendeby Manon Kok Jorik De Bruycker Tom Dhaene Nobby Stevens Qamar Bader Sharief Saleh Mohamed Elhabiby Aboelmagd Noureldin Indoor Lila Rana Jiabin Dong Shu‐Yu Cui Jinlong Li Jungyu Hwang Joon Goo Park Shiyu Bai Weisong Wen Li‐Ta Hsu Yue Yu Naizheng Jia Weimeng Cui Yuwei Wang Can Xue Guangyao Liu Xinheng Wang Zuyang Cao

10.1109/ipin57070.2023.10332515 article EN 2023-09-25
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