Many years after construction, a number of existing old tunnels and underground structures
are deteriorating with time as evidenced by cracks, large deformations, water leakage and …

Due to their resilience to motion blur and high robustness in low-light and high dynamic
range conditions, event cameras are poised to become enabling sensors for vision-based …

A novel approach for robust Unmanned Aerial Vehicle (UAV) altitude estimation relying on
laser measurements that is designed for use in complex indoor environments is proposed in …

In Global Navigation Satellite System (GNSS)-denied environments, image registration has
emerged as a prominent approach to utilize visual information for estimating the position of …

System modeling and parameter identification of micro aerial vehicles (MAV) are crucial for
robust autonomy, especially under highly dynamic motions. Visual-inertial-aided online …

In this letter, we present an event-and frame-based visual-inertial odometry (VIO) algorithm
that fuses frames, events, and inertial measurement in a robust and adaptive manner …

Delivery drones typically perform delivery by suspending the parcel vertically or landing the
drone to drop off the package. However, because of the constrained landing area and the …

Mapping the surroundings is a challenging task required for mobile robot. Fusion of
heterogeneous sensors measurement has gradually been the main focus of robot …

Simultaneous localisation and mapping (SLAM) systems have been widely studied over the
past 30 years and extensively applied in various fields such as mobile robotics, augmented …

The motion of underwater robot is usually slow, which leads to large scale error easily
introduced in the positioning method based on monocular Visual Inertial Odometry (VIO). To …