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Inertial sensors technologies for navigation applications: State of the art and future trends
N El-Sheimy, A Youssef - Satellite navigation, 2020 - Springer
Inertial navigation represents a unique method of navigation, in which there is no
dependency on external sources of information. As opposed to other position fixing …
dependency on external sources of information. As opposed to other position fixing …
A review of mobile map** systems: From sensors to applications
The evolution of mobile map** systems (MMSs) has gained more attention in the past few
decades. MMSs have been widely used to provide valuable assets in different applications …
decades. MMSs have been widely used to provide valuable assets in different applications …
Improved vehicle localization using on-board sensors and vehicle lateral velocity
Vehicle localization is essential for intelligent and autonomous vehicles. To improve the
accuracy of vehicle stand-alone localization in highly dynamic driving conditions during …
accuracy of vehicle stand-alone localization in highly dynamic driving conditions during …
Review of visual odometry: types, approaches, challenges, and applications
Accurate localization of a vehicle is a fundamental challenge and one of the most important
tasks of mobile robots. For autonomous navigation, motion tracking, and obstacle detection …
tasks of mobile robots. For autonomous navigation, motion tracking, and obstacle detection …
[HTML][HTML] Road surface monitoring using smartphone sensors: A review
S Sattar, S Li, M Chapman - Sensors, 2018 - mdpi.com
Road surface monitoring is a key factor to providing smooth and safe road infrastructure to
road users. The key to road surface condition monitoring is to detect road surface anomalies …
road users. The key to road surface condition monitoring is to detect road surface anomalies …
[HTML][HTML] The implementation of precise point positioning (PPP): a comprehensive review
High-precision positioning from Global Navigation Satellite Systems (GNSS) has garnered
increased interest due to growing demand in various applications, like autonomous car …
increased interest due to growing demand in various applications, like autonomous car …
Target tracking control of UAV through deep reinforcement learning
B Ma, Z Liu, W Zhao, J Yuan, H Long… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This study presents an innovative reinforcement-learning-based control algorithm for a
vertical take-off and landing (VTOL) aircraft under wind disturbances. In our approach, the …
vertical take-off and landing (VTOL) aircraft under wind disturbances. In our approach, the …
Deep learning-enabled fusion to bridge GPS outages for INS/GPS integrated navigation
Y Liu, Q Luo, Y Zhou - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
The low cost inertial navigation system (INS) suffers from bias and measurement noise,
which would result in poor navigation accuracy during global positioning system (GPS) …
which would result in poor navigation accuracy during global positioning system (GPS) …
[HTML][HTML] GNSS error sources
This chapter discusses the most serious sources of error affecting global navigation satellite
systems (GNSS) signals, classifying these in a new way, according to their nature and/or …
systems (GNSS) signals, classifying these in a new way, according to their nature and/or …
A multichannel microcalorimetric system: The third-generation Thermal Activity Monitor (TAM III)
J Suurkuusk, M Suurkuusk, P Vikegard - Journal of Thermal Analysis and …, 2018 - Springer
A new generation isothermal multichannel microcalorimetry system based on an earlier
reported system which has been commercialised under the name “Thermal Activity …
reported system which has been commercialised under the name “Thermal Activity …