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Factor graph optimization for GNSS/INS integration: A comparison with the extended Kalman filter
Factor graph optimization (FGO) recently has attracted attention as an alternative to the
extended Kalman filter (EKF) for GNSS-INS integration. This study evaluates both loosely …
extended Kalman filter (EKF) for GNSS-INS integration. This study evaluates both loosely …
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 …
GNSS NLOS exclusion based on dynamic object detection using LiDAR point cloud
Absolute positioning is an essential factor for the arrival of autonomous driving. At present,
GNSS is the indispensable source that can supply initial positioning in the commonly used …
GNSS is the indispensable source that can supply initial positioning in the commonly used …
Correcting NLOS by 3D LiDAR and building height to improve GNSS single point positioning
We present a novel method to detect the GNSS NLOS and correct the NLOS pseudorange
measurements based on on‐board sensing. This paper demonstrates the use of LiDAR …
measurements based on on‐board sensing. This paper demonstrates the use of LiDAR …
Robot–city interaction: Map** the research landscape—a survey of the interactions between robots and modern cities
The goal of this work is to describe how robots interact with complex city environments, and
to identify the main characteristics of an emerging field that we call Robot–City Interaction …
to identify the main characteristics of an emerging field that we call Robot–City Interaction …
Ins-aided gnss pseudo-range error prediction using machine learning for urban vehicle navigation
T Zhang, L Zhou, X Feng, J Shi, Q Zhang… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Global navigation satellite system (GNSS) is being extensively applied in different
navigation applications. However, GNSS direct signals are easily affected by multipath and …
navigation applications. However, GNSS direct signals are easily affected by multipath and …
A participatory urban traffic monitoring system: The power of bus riders
This paper presents a participatory sensing-based urban traffic monitoring system. Different
from existing works that heavily rely on intrusive sensing or full cooperation from probe …
from existing works that heavily rely on intrusive sensing or full cooperation from probe …
Rotating GNSS antennas: Simultaneous LOS and NLOS multipath mitigation
Urban environments present significant challenges to global navigation satellite system
(GNSS) positioning. GNSS signals are often obstructed by buildings and other obstacles …
(GNSS) positioning. GNSS signals are often obstructed by buildings and other obstacles …
Using Sky‐pointing fish‐eye camera and LiDAR to aid GNSS single‐point positioning in urban canyons
Robust and globally‐referenced positioning is indispensable for autonomous driving
vehicles. Global navigation satellite system (GNSS) is still an irreplaceable sensor …
vehicles. Global navigation satellite system (GNSS) is still an irreplaceable sensor …
Correcting GNSS multipath errors using a 3D surface model and particle filter
Currently, the availability of global navigation satellite systems (GNSSs) is anticipated to
improve because of the presence of various positioning satellites. However, because of the …
improve because of the presence of various positioning satellites. However, because of the …