K
Kai-Wei Chiang
Researcher at National Cheng Kung University
Publications - 123
Citations - 1639
Kai-Wei Chiang is an academic researcher from National Cheng Kung University. The author has contributed to research in topics: GNSS applications & Global Positioning System. The author has an hindex of 20, co-authored 99 publications receiving 1292 citations. Previous affiliations of Kai-Wei Chiang include University of Calgary.
Papers
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Journal ArticleDOI
The Utilization of Artificial Neural Networks for Multisensor System Integration in Navigation and Positioning Instruments
TL;DR: An INS/GPS integration method based on artificial neural networks (ANN) to fuse uncompensated INS measurements and differential GPS (DGPS) measurements is suggested and two different architectures: the position update architecture (PUA) and the position and velocity PUA (PVUA).
Journal ArticleDOI
An intelligent navigator for seamless INS/GPS integrated land vehicle navigation applications
Kai-Wei Chiang,Yun-Wen Huang +1 more
TL;DR: The results presented in this article strongly indicate the potential of including the intelligent navigator as the core algorithm for INS/GPS integrated land vehicle navigation systems.
Journal ArticleDOI
The performance analysis of a real-time integrated INS/GPS vehicle navigation system with abnormal GPS measurement elimination.
TL;DR: The proposed method is described and applied in a real-time integrated system with two integration strategies, namely, loosely coupled and tightly coupled schemes, respectively, and aims to avoid the multipath problem.
Journal ArticleDOI
The Development of an UAV Borne Direct Georeferenced Photogrammetric Platform for Ground Control Point Free Applications
TL;DR: The proposed UAV based photogrammetric platform has a Direct Georeferencing (DG) module that includes a low cost Micro Electro Mechanical Systems (MEMS) Inertial Navigation System (INS)/Global Positioning System (GPS) integrated system.
DissertationDOI
INS/GPS integration using neural networks for land vehicular navigation applications
TL;DR: This research proposed the cascade Denoising algorithm to overcome the limitations of existing denoising algorithms and an alternative INS/GPS integration methodology, the conceptual intelligent navigator incorporating artificial intelligence techniques, was proposed to reduce the remaining limitations of traditional navigators that use the Kalman filter approach.