Kalman filter configurations for a low-cost loosely integrated inertial navigation system on an airship-Reference-Cited by-同舟云学术

Kalman filter configurations for a low-cost loosely integrated inertial navigation system on an airship

Published:2008-12 Issue:12 Volume:16 Page:1509-1518
ISSN:0967-0661
Container-title:Control Engineering Practice
language:en
Short-container-title:Control Engineering Practice

Author:

Bijker Johan,Steyn Willem

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference19 articles.

1. Study and implementation of an EKF GIB-based underwater positioning system;Alcocer;Control Engineering Practice,2007

2. Inertial sensor technology trends;Barbour;IEEE Sensors Journal,2001

3. Boschma, J. H. (1993). The development progress of the US Armys SAA LITE unmanned robot airship. In 10th AIAA lighter-than-air systems technology conference, Arizona.

4. Elves, A., Bergerman, M., & Bueno, S. (2001). The potential of robotic airships for planetary exploration. In 10th international conference on advanced robotics, Budapest, (pp. 131–138).

5. Project aurora: development of an autonomous unmanned remote monitoring robotic airship;Elves;Journal of the Brazilian Computer Society,1998

Cited by 57 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A navigation accuracy compensation algorithm for low-cost unmanned surface vehicles based on models and event triggers;Control Engineering Practice;2024-05

2. Sensor fusion based multiple robot navigation in an indoor environment;International Journal on Interactive Design and Manufacturing (IJIDeM);2024-04-01

3. Improved Navigation System of Marine Unmanned Robot Based on Sensor Fusion;2024 2nd International Conference on Unmanned Vehicle Systems-Oman (UVS);2024-02-12

4. Airship Flight Model Creation: A Computational Approach for High Altitude Pseudo-Satellites (HAPS);AIAA SCITECH 2024 Forum;2024-01-04

5. Estimation of airship states and model uncertainties using nonlinear estimators;Mehran University Research Journal of Engineering and Technology;2024-01-01