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Inertial-Based Localization for Unmanned Helicopters Against GNSS Outage
IEEE Transactions on Aerospace and Electronic Systems, 2013Global Navigation Satellite Systems (GNSSs), such as the Global Positioning System (GPS) and Global Navigation Satellite System (GLONASS), are the primary sensors for localization of most unmanned helicopters. However, GNSS signals cannot be tracked reliably due to geographic restrictions or deliberate jamming, and this has been an unsolved problem for
Tak Kit Lau, Yun-Hui Liu, Kai Wun Lin
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IEEE Transactions on Intelligent Vehicles
Autonomous vehicles are widely used in logistics, public transportation, and specialized industries, its high-precision navigation and positioning is predominantly supported through strapdown inertial navigation system/global navigation satellite system (
Siyuan Du +3 more
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Autonomous vehicles are widely used in logistics, public transportation, and specialized industries, its high-precision navigation and positioning is predominantly supported through strapdown inertial navigation system/global navigation satellite system (
Siyuan Du +3 more
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A robust state estimation method against GNSS outage for unmanned miniature helicopters
2010 IEEE International Conference on Robotics and Automation, 2010Most unmanned aerial robots use a Global Navigation Satellite System (GNSS), such as GPS, GLONASS, and Galileo, for their navigation. However, from time to time the GNSS fails to function due to geographical restrictions and deliberated jamming. This paper proposes an Unscented Kalman Filter-based GPS/IMU integration method in order to accurately ...
null Tak Kit Lau +2 more
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An integrated INS/GNSS system with an attention-based hierarchical LSTM during GNSS outage
GPS Solutions, 2023Sina Taghizadeh, Reza Safabakhsh
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IEEE Transactions on Cybernetics, 2023
Achieving reliable intervehicle positioning is one of the most fundamental elements for many vehicular applications, including collision avoidance and autonomous driving. Vehicle position is generally provided by a global navigation satellite system (GNSS), which unfortunately suffers from inaccuracy to varying degrees in challenging environments, for ...
Vincent Havyarimana +5 more
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Achieving reliable intervehicle positioning is one of the most fundamental elements for many vehicular applications, including collision avoidance and autonomous driving. Vehicle position is generally provided by a global navigation satellite system (GNSS), which unfortunately suffers from inaccuracy to varying degrees in challenging environments, for ...
Vincent Havyarimana +5 more
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Measurement Science and Technology
Abstract An integrated navigation system that combines the global navigation satellite system (GNSS) and the inertial navigation system (INS) provides accurate navigation and positioning information for carriers. However, the complex traffic environment leads to frequent GNSS outages.
Zhen Huo +5 more
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Abstract An integrated navigation system that combines the global navigation satellite system (GNSS) and the inertial navigation system (INS) provides accurate navigation and positioning information for carriers. However, the complex traffic environment leads to frequent GNSS outages.
Zhen Huo +5 more
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A novel hybrid observation prediction methodology for bridging GNSS outages in INS/GNSS systems
Journal of Navigation, 2022AbstractThe integration of the inertial navigation system (INS) and global navigation satellite system (GNSS) is suited for localisation and navigation applications, such as aircrafts, land vehicles and ships. The primary challenge is for navigation system to achieve accurate and reliable navigation solution during GNSS outages.
Linzhouting Chen +2 more
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A Hybrid Intelligent Algorithm DGP-MLP for GNSS/INS Integration during GNSS Outages
Journal of Navigation, 2018The performance of Global Navigation Satellite System (GNSS) and Micro-Electro-Mechanical System (MEMS)-based Inertial Navigation System (INS) integrated navigation is reduced during GNSS outages. To bridge the period during GNSS outages, a novel hybrid intelligent algorithm incorporating a Discrete Grey Predictor (DGP) and a Multilayer Perceptron (MLP)
Yuexin Zhang, Lihui Wang
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Vehicle Localization with Vehicle Dynamics During GNSS Outages
2020Vehicle localization system is one of the most important systems of autonomous vehicles. To improve the localization accuracy during Global Navigation Satellite System (GNSS) outages, this paper presents a GNSS/Inertial Measurement System (IMU)/Wheel speed sensor (WSS) integrated localization system considering vehicle dynamics.
Letian Gao +4 more
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