At present, most inertial systems generally only contain a single inertial measurement unit
(IMU). Considering the low cost and low accuracy of the micro-electromechanical system …

This paper proposes the modified feature point threshold filter (FPTF) algorithm for UAVs to
improve optical-flow-based navigation performance depending on the altitude and velocity …

We present a dead reckoning strategy for increased resilience to position estimation failures
on multirotors, using only data from a low-cost IMU and novel, bio-inspired airflow sensors …

Although modern localization methods have achieved remarkable accuracy with various
sensors, there are still some circumstances where only proprioceptive sensing works …

This article investigates the causes of occasional flight instability observed in Unmanned
Aerial Vehicles (UAVs). The issue manifests as unexpected oscillations that can lead to …

The presented study offers a comprehensive insight in design and application of the Kalman
filters for improvement of control efficiency of small unmanned aerial vehicles with fixed …

To solve the low precision and poor anti-interference of a single Micro-Electro-Mechanical
System (MEMS) inertial sensor, this paper proposes a high-precision attitude estimation …

This paper presents a technique for state estimation of a multi-link system having no joint
encoders, which can only be partially observed by a camera. To fully observe the system …

Autonomous missions of drones require continuous and reliable estimates for the drone's
attitude, velocity, and position. Traditionally, these states are estimated by applying …

Unmanned aerial vehicles (UAVs) are utilized in a wide range of real-world applications
including search and rescue missions, 3D mapping, building inspection and reconstruction …