Visual Inertial Odometry (VIO) is one of the most established state estimation methods for
mobile platforms. However, when visual tracking fails, VIO algorithms quickly diverge due to …

Intelligent vehicular cyber-physical systems (ICPSs) increase the reliability, efficiency and
adaptability of urban mobility systems. Notably, ICPSs enable autonomous transportation in …

For real-world applications, autonomous mobile robotic platforms must be capable of
navigating safely in a multitude of different and dynamic environments with accurate and …

During flight, unmanned aerial vehicles (UAVs) need several sensors to follow a predefined
path and reach a specific destination. To this aim, they generally exploit an inertial …

This article presents a deep data-driven inertial measurement unit (IMU) online calibration
(DUET) method that can compensate for the run-time errors of the accelerometer and …

Traditional Visual Odometry (VO) methods that utilize visible cameras frequently degrade in
challenging illumination environments. Alternative vision sensors such as thermal cameras …

This paper proposes a new model for onboard physical fault detection on autonomous
unmanned aerial vehicles (UAV) through machine learning (ML) techniques. The proposal …

For real-world applications, autonomous mobile robotic platforms must be capable of
navigating safely in a multitude of different and dynamic environments with accurate and …

Inertial odometry (IO) using only Inertial Measurement Units (IMUs) offers a lightweight and
cost-effective solution for Unmanned Aerial Vehicle (UAV) applications, yet existing learning …

Modern navigation approaches, such as inertial odometry and visual-inertial odometry, are
highly dependent on the inertial measurement unit (IMU). However, for low-cost IMU, the …