Robust localization is critical for the navigation and control of mobile robots. Global
Navigation Satellite Systems (GNSS), Visual-Inertial Odometry (VIO), and Simultaneous …

Motion control theory applied to multi-rotor aerial vehicles (MAVs) has gained attention with
the recent increase in the processing power of computers, which are now able to perform the …

Indoor navigation has remained an active research area for the last decade. Unlike outdoor
environments, indoor environments have additional challenges, such as weak signals, low …

Accurate localization is crucial for the autonomous navigation and control of Unmanned
Aircraft Systems (UAS). In most applications, localization is provided from a Global …

We present SpeakingFaces as a publicly-available large-scale multimodal dataset
developed to support machine learning research in contexts that utilize a combination of …

Smartphone camera or inertial measurement unit (IMU) sensor-based systems can be
independently used to provide accurate indoor positioning results. However, the accuracy of …

We present a novel approach to increase the flight time of a multirotor via mid-air docking
and in-flight battery switching. A main quadcopter flying using a primary battery has a …

Squared fiducial markers are a powerful tool for camera pose estimation in applications
such as robots, unmanned vehicles and augmented reality. The four corners of a single …

Bolts are widely applied to the connections of structural components. Under the actions of
alternative forces induced by the external loads, the bolts are commonly inevitable to be …

This paper integrates UWB (ultra-wideband) and IMU (Inertial Measurement Unit) data to
realize pedestrian positioning through a particle filter in a non-line-of-sight (NLOS) …