Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems offers you a solid understanding of satellite navigation, inertial navigation, terrestrial radio navigation, dead reckoning, feature matching, and integrated navigation. It
This paper will discuss the design and implementation of an inertial navigation system (INS) using an inertial measurement unit (IMU) and GPS. The INS is capable of providing continuous estimates of a vehicle’s position and orientation. Typically IM
Navigation systems engineering is a red-hot area. More and more technical professionals are entering the field and looking for practical, up-to-date engineering know-how. This single-source reference answers the call, providing both an introduction
In this survey, a taxonomy of modern PDRs is developed and used to contextualise the contributions from different areas. Techniques for step detection, characterisation, inertial navigation and step-and-heading-based deadreckoning are reviewed and c
Combining visual and inertial measurements has become popular in mobile robotics, since the two sensing modalities offer complementary characteristics that make them the ideal choice for accurate Visual-Inertial Odometry or Simultaneous Localization
Abstract— In this paper, we present a monocular visual-inertial odometry algorithm which, by directly using pixel intensity errors of image patches, achieves accurate tracking performance while exhibiting a very high level of robustness. After detec
Abstract— In recent years there have been excellent results in Visual-Inertial Odometry techniques, which aim to compute the incremental motion of the sensor with high accuracy and robustness. However these approaches lack the capability to close lo
A practical and systematic overview of the design, fabrication and test of MEMS-based inertial sensors, this comprehensive and rigorous guide shows you how to analyze and transform application requirements into practical designs, and helps you to av
In this paper, we present a novel method to fuse observations from an inertial measurement unit (IMU) and visual
sensors, such that initial conditions of the inertial integration,
including gravity estimation, can be recovered quickly and in a
lin
