Abstract Integrated System Health Management (ISHM) is a promising technology that fuses
sensor data and historical state-of-health information of components and subsystems to …

Accurate state-of-charge (SOC) estimation is critical for the safety and reliability of battery
management systems in electric vehicles. Because SOC cannot be directly measured and …

With the increasing affordability of robot technologies and the reduction in size and weight of
autonomous systems, the deployment of autonomous robotic systems on construction sites …

The Technion autonomous underwater vehicle (TAUV) is an ongoing project aiming to
develop and produce a small AUV to carry on research missions, including payload …

To reduce machine-related accidents on sites, automatically monitoring the full-body poses
of operating heavy machines is crucial. Conventional pose estimation systems relying on …

The performance and safety of electric vehicles are heavily dependent on battery state; thus,
accurately predicting the state of charge (SOC) within battery management systems (BMS) is …

Estimation of the state of a discrete-time state-space model from noisy measurements is a
crucial aspect of signal processing. The extended Kalman filter (EKF) is widely used as a …

Fingerprint authentication has gained increasing popularity on mobile devices in recent
years. However, it is vulnerable to presentation attacks, which include that an attacker …

Robots are an indispensable part of modern production lines. Usually working in designated
areas, they are separated from human workers in order to avoid collisions. A safe …

The master thesis seeks to develop a control system for the Crazyflie 2.0 unmanned aerial
vehicle to enable aggressive and autonomous flight. For this purpose, different rigid-body …