This paper proposes an aiding technique to enhance error estimation in low-cost strapdown inertial navigation systems with application to Unmanned Air Vehicles (UAVs). The paper summarizes a high-accuracy, multi-rate integrated Global Positioning System/Inertial Navigation System (GPS/INS) using Extended Kalman Filter (EKF) for error compensation. A proposed new technique decomposes and optimal...

The drive towards utilizing small, cheap, autonomous aerial vehicles for military operations means that navigation systems that are robust to GPS denial must be employed. The simplest option available is to increase the accuracy of the inertial measurement unit (IMU), but this can substantially increase the price per operational unit. This paper presents an overview of the All-Source Navigation...

This paper presents a vision-aided inertial navigation system for small unmanned aerial vehicles (UAVs) in GPS-denied environments. During visual estimation, image features in consecutive frames are detected and matched to estimate the motion of the vehicle with a homography-based approach. Afterwards, the visual measurement is fused with the output of an inertial measurement unit (IMU) by an i...

In scenarios with insufficient structural features, LiDAR-based SLAM may suffer from degeneracy, resulting in impaired robot localization and mapping potentially leading to subsequent deviant navigation tasks. Therefore, it is crucial develop advanced algorithms techniques mitigate the degeneracy issue ensure robustness accuracy of SLAM. This paper presents a LiDAR–inertial simultaneous (SLAM) ...

Until recently the weight and size of inertial sensors has prohibited their use in domains such as human motion capture. Recent improvements in the performance of small and lightweight micromachined electromechanical systems (MEMS) inertial sensors have made the application of inertial techniques to such problems possible. This has resulted in an increased interest in the topic of inertial navi...

This research aims at enhancing the accuracy of land vehicular navigation systems by integrating GPS and Micro-Electro-Mechanical-System (MEMS) based inertial measurement units (IMU). This comprises improving the MEMS-based inertial output signals as well as investigating the limitations of a conventional Kalman Filtering (KF) solution for MEMS-IMU/GPS integration. These limitations are due to ...

The term Micro Air Vehicles (MAVs) is used for a new type of remotely controlled, semi-autonomous or autonomous aircraft that is significantly smaller than conventional aircrafts. To apply Micro Electro Mechanical Systems (MEMS) inertial sensors for the Guidance, Navigation and Control (GNC) of Micro Air Vehicle (MAV) is an extremely challenging area. The major components of the control system ...

The rigid body motion can be represented by a motor in geometric algebra, and the motor can be rewritten as a trinometric function of the screw blade. In this paper, a screw blade strapdown inertial navigation system (SDINS) algorithm is developed. The trigonometric function form of the motor is derived and utilized to deduce the Bortz equation of the screw blade. The screw blade SDINS algorith...

As information visualization tools are used to visualize datasets of increasing size, there is a growing need for techniques that facilitate efficient navigation. Pan and zoom navigation enables users to display areas of interest at different resolutions. Focus+context techniques aim to overcome the drawbacks of pan and zoom by dynamically integrating areas of interest and context regions. To d...

Generally, underwater unmanned vehicle (UUV) have adopted an inertial navigation system (INS), dead reckoning (DR), acoustic navigation and geophysical navigation techniques as the navigation method because GPS does not work in deep underwater environment. Although the tactical inertial sensor has been usually used at UUV for precise control during long operation time because the sensor can pro...