Inertial sensors are widely utilized in smartphones, drones, vehicles, and wearable devices,
playing a crucial role in enabling ubiquitous and reliable localization. Inertial sensor-based …

In response to severe environmental and energy crises, the world is increasingly focusing
on electric vehicles (EVs) and related emerging technologies. Emerging technologies for …

This article proposes a learning method for denoising gyroscopes of Inertial Measurement
Units (IMUs) using ground truth data, and estimating in real time the orientation (attitude) of a …

We propose XVO, a semi-supervised learning method for training generalized monocular
Visual Odometry (VO) models with robust off-the-self operation across diverse datasets and …

Visual odometry (VO) is a prevalent way to deal with the relative localization problem, which
is becoming increasingly mature and accurate, but it tends to be fragile under challenging …

Every year, for ten years now, the IPIN competition has aimed at evaluating real-world
indoor localisation systems by testing them in a realistic environment, with realistic …

Inertial sensing is employed in a wide range of applications and platforms, from everyday
devices such as smartphones to complex systems like autonomous vehicles. In recent years …

Intelligent unmanned systems have important applications, such as pesticide-spraying in
agriculture, robot-based warehouse management systems, and missile-firing drones. The …

Estimating the robot's heading is a crucial requirement in odometry systems which are
attempting to estimate the movement trajectory of a robot. Small errors in the orientation …