Compressed Fusion of GNSS and Inertial Navigation With Simultaneous Localization and Mapping

被引：8
|
作者：
Kim, Jonghyuk [1 ]
Cheng, Jiantong [2 ]
Guivant, Jose [3 ]
Nieto, Juan [4 ]
机构：
[1] Australian Natl Univ, Coll Engn & Comp Sci, Canberra, ACT 0200, Australia
[2] Key Lab Complex Aviat Syst Simulat, Beijing 100076, Peoples R China
[3] Univ New South Wales, Sch Mech & Mfg Engn, Sydney, NSW 2052, Australia
[4] Swiss Fed Inst Technol, Autonomous Syst Lab, CH-8092 Zurich, Switzerland
来源：
IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE | 2017年 / 32卷 / 08期
关键词：
UNSCENTED KALMAN FILTER; SLAM; IMU; VISION;
D O I：
10.1109/MAES.2017.8071552
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
Unmanned aerial vehicles (UAVs) have attracted significant attention from both civilian and defense industries over the last few decades. With the advances in low-cost inertial sensor technology and the global navigation satellite system (GNSS), the six degreesof-freedom (6DOF) vehicle state can be estimated accurately by fusing this information, which has been a crucial step toward realtime guidance and flight control [1], [2]. © 1986-2012 IEEE.
引用
收藏
页码：22 / 36
页数：15
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