This paper presents a novel end-to-end deep learning framework for real-time inertial
attitude estimation using 6DoF IMU measurements. Inertial Measurement Units are widely …

Multisensor fusion positioning is an important technology for achieving high-precision
positioning of intelligent vehicles in complex road scenes. However, the existing fusion …

Bounding satellites' nominal measurement errors to calculate the protection level (PL) of the
position error is a salient step of integrity monitoring of positioning autonomous vehicles …

Vehicular attitude can be estimated using micro-electro-mechanical systems (MEMS) based
magnetic, angular rate, and gravity (MARG) sensors or global navigation satellite systems …

In this paper, based on semi-tensor product of quaternion matrices, we explore the operation
conclusion of quaternion matrices under vector representation, which can realize the …

Attitude estimation is critical for navigation and control systems, and low-cost inertial
measurement units (IMUs) have become a preferred choice for many applications due to …

Real-time monitoring of slopes, tunnels, and dams is important for ensuring the long-term
stability and reliability of such structures. Despite the successes of current technologies in …

The existing magnetic sensors are sensitive to temperature and are prone to temperature
drift, which makes it difficult to guarantee detection accuracy when working continuously at …

The optical flow sensor can detect the movement of the unmanned aerial vehicle (UAV) on
the ground; thus, it is widely used for UAV flight control. The commonly used pinhole model …