- 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...
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...
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...