Advances in intelligent and autonomous navigation systems for small UAS
A significant growth in Unmanned Aircraft System (UAS) operations has been observed over
the past decade, largely driven by the emergence of new commercial opportunities and use …
the past decade, largely driven by the emergence of new commercial opportunities and use …
A gradient boosting decision tree based GPS signal reception classification algorithm
In urban areas, GPS signals are often reflected or blocked by buildings, which causes
multipath effects and non-line-of-sight (NLOS) reception respectively consequently …
multipath effects and non-line-of-sight (NLOS) reception respectively consequently …
A review of environmental context detection for navigation based on multiple sensors
F Feriol, D Vivet, Y Watanabe - Sensors, 2020 - mdpi.com
Current navigation systems use multi-sensor data to improve the localization accuracy, but
often without certitude on the quality of those measurements in certain situations. The …
often without certitude on the quality of those measurements in certain situations. The …
GNSS multipath detection using a machine learning approach
LT Hsu - 2017 IEEE 20th international conference on intelligent …, 2017 - ieeexplore.ieee.org
Insufficient localization accuracy of global navigation satellite system (GNSS) receivers is
one of the challenges to implement advanced intelligent transportation system in highly …
one of the challenges to implement advanced intelligent transportation system in highly …
Analysis and modeling GPS NLOS effect in highly urbanized area
LT Hsu - GPS solutions, 2018 - Springer
Current GPS positioning accuracy in urban areas is still unsatisfactory for various
applications, including pedestrian navigation and autonomous driving. Due to the …
applications, including pedestrian navigation and autonomous driving. Due to the …
Measurement quality control aided multisensor system for improved vehicle navigation in urban areas
Integration of the global positioning system (GPS) with other sensors to improve positioning
and navigation is a viable solution for intelligent vehicles. In particular, integrating GPS with …
and navigation is a viable solution for intelligent vehicles. In particular, integrating GPS with …
Resilient pseudorange error prediction and correction for GNSS positioning in urban areas
Positioning, navigation, and timing (PNT) is essential for Internet of Things (IoT)
communications and location-based services. Although global navigation satellite system …
communications and location-based services. Although global navigation satellite system …
Pseudorange error prediction for adaptive tightly coupled GNSS/IMU navigation in urban areas
The integration of global navigation satellite systems (GNSS) and inertial measurement unit
(IMU) with the Kalman filter is widely used to enhance the availability of positioning in urban …
(IMU) with the Kalman filter is widely used to enhance the availability of positioning in urban …
Improving GPS code phase positioning accuracy in urban environments using machine learning
The accuracy of location information, mainly provided by the global positioning system
(GPS) sensor, is critical for Internet-of-Things applications in smart cities. However, built …
(GPS) sensor, is critical for Internet-of-Things applications in smart cities. However, built …
NLOS multipath classification of GNSS signal correlation output using machine learning
This paper proposes a method for detecting non-line-of-sight (NLOS) multipath, which
causes large positioning errors in a global navigation satellite system (GNSS). We use …
causes large positioning errors in a global navigation satellite system (GNSS). We use …