Low-Cost INS/GNSS Integration Algorithm Aided by Multi-Constraints Applied to Vehicle Navigation

被引：0

作者：

Ge, Baoshuang ^{[1
]}

Zhang, Hai ^{[1
]}

Fu, Wenxing ^{[2
]}

Chen, Jieling ^{[3
]}

机构：

[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing, Peoples R China

[2] Sci & Technol Complex Syst Control & Intelligent, Beijing, Peoples R China

[3] China Ship Dev & Design Ctr, Wuhan, Peoples R China

来源：

2020 THE 5TH INTERNATIONAL CONFERENCE ON CONTROL AND ROBOTICS ENGINEERING (ICCRE 2020) | 2020年

关键词：

integrated navigation; micro-electromechanical systems (MEMS) barometer; velocity constraints; vehicle positioning;

D O I：

10.1109/iccre49379.2020.9096484

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The low-cost inertial navigation system/global navigation satellite system (INS/GNSS) integration has been widely used to vehicle navigation. However, the positioning performance often declines due to the weak satellite signals. This paper presents a new approach to improve the accuracy of the vehicle navigation. In contrast to the current methods, a new velocity constraint model is developed to aid the estimation of the navigation errors. The altitude accuracy of GNSS is challenged in comparison with its position in the horizonal plane. Thus, an auxiliary low-cost barometer is used to obtain the height as well. The experimental results demonstrate the benefit of the proposed multi-constraints aiding algorithm.

引用

页码：159 / 163

页数：5

共 50 条

[41] LOW-COST MULTI-FREQUENCY GNSS RECEIVERS: PERFORMANCE EVALUATION FOR POSITIONING AND NAVIGATION
Radicioni, F.
Stoppini, A.
Marconi, L.
Tosi, G.
2ND GEOBENCH WORKSHOP ON EVALUATION AND BENCHMARKING OF SENSORS, SYSTEMS AND GEOSPATIAL DATA IN PHOTOGRAMMETRY AND REMOTE SENSING, VOL. 48-1, 2023, : 167 - 174
[42] Research on GNSS-Assisted Low-Cost INS Combined Navigation Moving Base Initial Alignment Technique
Sun, Mengbo
Huang, Jian
Hu, Pengcheng
Song, Xiaohui
Li, Zhu
IEEE ACCESS, 2024, 12 : 91164 - 91176
[43] A Fault-Tolerant Tightly Coupled GNSS/INS/OVS Integration Vehicle Navigation System Based on an FDP Algorithm
Jiang, Wei
Liu, Dan
Cai, Baigen
Rizos, Chris
Wang, Jian
Wei Shangguan
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (07) : 6365 - 6378
[44] Integration of Low-Cost IMU with MEMS and NavIC/IRNSS Receiver for Land Vehicle Navigation
Sirikonda, Saraswathi
Parayitam, Laxminarayana
PROCEEDINGS OF THE 34TH INTERNATIONAL TECHNICAL MEETING OF THE SATELLITE DIVISION OF THE INSTITUTE OF NAVIGATION (ION GNSS+ 2021), 2021, : 2705 - 2717
[45] Optimization of the Low-cost INS/GPS Navigation System using ANFIS for High Speed Vehicle Application
Abdolkarimi, E. S.
Mosavi, M. R.
Abedi, A. A.
Mirzakuchaki, S.
2015 SIGNAL PROCESSING AND INTELLIGENT SYSTEMS CONFERENCE (SPIS), 2015, : 93 - 98
[46] Multi-GNSS PPP/INS tightly coupled integration with atmospheric augmentation and its application in urban vehicle navigation
Shengfeng Gu
Chunqi Dai
Wentao Fang
Fu Zheng
Yintong Wang
Quan Zhang
Yidong Lou
Xiaoji Niu
Journal of Geodesy, 2021, 95
[47] Multi-GNSS PPP/INS tightly coupled integration with atmospheric augmentation and its application in urban vehicle navigation
Gu, Shengfeng
Dai, Chunqi
Fang, Wentao
Zheng, Fu
Wang, Yintong
Zhang, Quan
Lou, Yidong
Niu, Xiaoji
JOURNAL OF GEODESY, 2021, 95 (06)
[48] Low-cost, triple-frequency multi-GNSS PPP and MEMS IMU integration for continuous navigation in urban environments
Vana, Sudha
PROCEEDINGS OF THE 34TH INTERNATIONAL TECHNICAL MEETING OF THE SATELLITE DIVISION OF THE INSTITUTE OF NAVIGATION (ION GNSS+ 2021), 2021, : 3234 - 3249
[49] Neural network aided adaptive UKF algorithm for GPS/INS integration navigation
School of Geodesy and Geomatics, Jiangsu Normal University, Xuzhou
221116, China
不详
221116, China
Cehui Xuebao, 4 (384-391):
[50] Vehicular Navigation using a Tight Integration of Aided-GPS and Low-Cost MEMS Sensors
Kubrak, Damien
Macabiau, Christophe
Monnerat, Michel
Boucheret, Marie-Laure
PROCEEDINGS OF THE 2006 NATIONAL TECHNICAL MEETING OF THE INSTITUTE OF NAVIGATION - NTM 2006, 2006, : 149 - 158

← 1 2 3 4 5 →