Results 11 to 20 of about 3,067 (278)

A New Faulty GNSS Measurement Detection and Exclusion Algorithm for Urban Vehicle Positioning

Remote Sensing, 2021
The performance requirements for Global Navigation Satellite Systems (GNSS) are becoming more demanding as the range of mission-critical vehicular applications, including the Unmanned Aerial Vehicle (UAV) and ground vehicle-based applications, increases.
Qi Cheng, Ping Chen, Rui Sun, Junhui Wang, Yi Mao, Washington Yotto Ochieng   +5 more
doaj   +2 more sources

GAN-FDSR: GAN-Based Fault Detection and System Reconfiguration Method

Sensors, 2022
Fault detection and exclusion are essential to ensure the integrity and reliability of the tightly coupled global navigation satellite system (GNSS)/inertial navigation system (INS) integrated navigation system.
Zihan Shen, Xiubin Zhao, Chunlei Pang, Liang Zhang   +3 more
doaj   +2 more sources

Innovation-Based Fault Detection and Exclusion Applied to Ultra-WideBand Augmented Urban GNSS Navigation

Remote Sensing, 2022
Due to their ability to provide a worldwide absolute outdoor positioning, Global Navigation Satellite Systems (GNSS) have become a reference technology in terms of navigation technologies.
Paul Zabalegui, Gorka De Miguel, Jaizki Mendizabal, Iñigo Adin   +3 more
doaj   +2 more sources

On fault detection and exclusion in snapshot and recursive positioning algorithms for maritime applications [PDF]

European Transport Research Review, 2016
Introduction Resilient provision of Position, Navigation and Timing (PNT) data can be considered as a key element of the e-Navigation strategy developed by the International Maritime Organization (IMO). An indication of reliability has been identified as a high level user need with respect to PNT data to be supplied by electronic navigation means.
Ralf Ziebold, Luis Lanca, Michailas Romanovas   +2 more
openaire   +6 more sources

A Probabilistic Method-Based Smartphone GNSS Fault Detection and Exclusion System Utilizing PDR Step Length

Remote Sensing, 2023
A smartphone equipped with a Global Navigation Satellite System (GNSS) module can generate positional information for location-based services. However, GNSS signals are susceptible to fragility, multipath (MP), and Non-Line-Of-Sight (NLOS) interference ...
Changhui Jiang, Yuwei Chen, Zuoya Liu, Qingyuan Xia, Chen Chen, Juha Hyyppa   +5 more
doaj   +2 more sources

Greedy Detection and Exclusion of Multiple Faults using Euclidean Distance Matrices

CoRR
Numerous methods have been proposed for global navigation satellite system (GNSS) receivers to detect faulty GNSS signals. One such fault detection and exclusion (FDE) method is based on the mathematical concept of Euclidean distance matrices (EDMs).
Derek Knowles, Grace Xingxin Gao
openaire   +3 more sources

A Cluster-Based Filtering Approach to SCADA Data Preprocessing for Wind Turbine Condition Monitoring and Fault Detection

Energies
The high cost of wind turbine maintenance has intensified the need for reliable fault detection and condition monitoring methods. While Supervisory Control and Data Acquisition (SCADA) systems provide valuable operational data, the raw signals often ...
Krzysztof Kijanowski, Tomasz Barszcz, Phong Ba Dao   +2 more
doaj   +2 more sources

Various Feature-Based Series Direct Current Arc Fault Detection Methods Using Intelligence Learning Models and Diverse Domain Exclusion Techniques

Machines
The expansion of DC electrical distribution systems necessitates advancements in detecting and mitigating DC arc events, a significant contributor to fire accidents in low-voltage DC distribution systems.
Hoang-Long Dang, Sangshin Kwak, Seungdeog Choi   +2 more
doaj   +2 more sources

IMPROVEMENT OF LiDAR-SLAM-BASED 3D NDT LOCALIZATION USING FAULT DETECTION AND EXCLUSION ALGORITHM [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
To meet the autopilot demand of autonomous vehicle, higher automation level accompanies with higher consideration of safety factor to improve navigation accuracy. Moreover, it shall be stable under diverse environment, e.g., semi-open sky, urban, traffic
Y.-T. Chiu, S. Srinara, M.-L. Tsai, K.-W. Chiang   +3 more
doaj   +1 more source

Cooperative Vehicle Localization in Multi-Sensor Multi-Vehicle Systems Based on an Interval Split Covariance Intersection Filter with Fault Detection and Exclusion

Vehicles
In the cooperative multi-sensor multi-vehicle (MSMV) localization domain, the data incest problem yields inconsistent data fusion results, thereby reducing the accuracy of vehicle localization.
Xiaoyu Shan, Adnane Cabani, Houcine Chafouk   +2 more
doaj   +2 more sources