Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Qusen Chen"'
Publikováno v:
Measurement. 204:112179
Publikováno v:
Journal of Sensors, Vol 2021 (2021)
A global navigation satellite system and inertial navigation system- (GNSS/INS-) integrated system is employed to provide direct georeferencing (DG) in aerial photogrammetry. However, GNSS/INS suffers from stochastic error, strong nonlinearity, and w
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 2298, p 2298 (2020)
Sensors
Volume 20
Issue 8
Sensors, Vol 20, Iss 2298, p 2298 (2020)
Sensors
Volume 20
Issue 8
Removal of the common mode error (CME) is very important for the investigation of global navigation satellite systems&rsquo
(GNSS) error and the estimation of an accurate GNSS velocity field for geodynamic applications. The commonly used spatiot
(GNSS) error and the estimation of an accurate GNSS velocity field for geodynamic applications. The commonly used spatiot
Publikováno v:
Measurement. 122:247-256
GPS has been widely applied to monitor displacements using direct measurements. Even conventional ways using direct measurement can achieve millimeter level (better than 1 mm in horizontal and 2 mm in vertical component) accuracy displacement, the ca
Publikováno v:
Measurement. 120:128-139
Global Navigation Satellite System (GNSS), especially Global Positioning System (GPS) technology has been employed to monitor large bridge deformation for more than 20 years. With the efforts of Chinese government and scholars, BeiDou regional naviga
Autor:
Yu Wu, Leilei Li, Jingbin Liu, Hongxing Sun, Sheng Yang, Xuewen Ding, Qusen Chen, Chunhua Ren, Ning Hu
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 3, p 502 (2019)
Sensors
Volume 19
Issue 3
Sensors, Vol 19, Iss 3, p 502 (2019)
Sensors
Volume 19
Issue 3
Cycle slip (CS) is a primary error source in Precise Point Positioning/Inertial Navigation System (PPP/INS) integrated systems. In this study, an INS-aided CS detection and repair method is presented. It utilizes high-precision INS information instea
Autor:
Paul Bhatia, John S. Owen, Sean Ince, Panagiotis Psimoulis, Dinh Tung Nguyen, Yilin Xie, Jun Ye, Qusen Chen, Xiaolin Meng
Publikováno v:
Sensors; Volume 18; Issue 3; Pages: 775
Sensors (Basel, Switzerland)
Sensors, Vol 18, Iss 3, p 775 (2018)
Sensors (Basel, Switzerland)
Sensors, Vol 18, Iss 3, p 775 (2018)
Structural Health Monitoring (SHM) is a relatively new branch of civil engineering that focuses on assessing the health status of infrastructure, such as long-span bridges. Using a broad range of in-situ monitoring instruments, the purpose of the SHM