4 citations · 4 across the 6 of their papers we have counts for
11 papers
Point-Supervised Visual Learning for GNSS Measurement Quality Assessment
Weiwei Zhai, Penggao Yan, Liang Wang +1
Multipath and non-line-of-sight (NLOS) propagation degrade global navigation satellite system (GNSS) positioning accuracy in urban environments. Although fisheye sky segmentation i…
Integrity and Credibility in Navigation: From Error Characterization to Operational Assuran
Penggao Yan, Baoshan Song, Yuan Li +2
Navigation integrity and estimator credibility use error and uncertainty information to address different questions. This perspective distinguishes actual positioning error from re…
Improved GNSS Positioning in Urban Environments Using a Logistic Error Model
Zhengdao Li, Penggao Yan, Baoshan Song +1
A Gaussian error assumption is commonly adopted in the pseudorange measurement model for global navigation satellite system (GNSS) positioning, which leads to the conventional leas…
Cauchy-Gaussian Overbound for Heavy-tailed GNSS Measurement Errors
Zhengdao Li, Penggao Yan, Weisong Wen +1
Overbounds of heavy-tailed measurement errors are essential to meet stringent navigation requirements in integrity monitoring applications. This paper proposes to leverage the boun…
Certifiable Alignment of GNSS and Local Frames via Lagrangian Duality
Baoshan Song, Matthew Giamou, Penggao Yan +2
Estimating the absolute orientation of a local system relative to a global navigation satellite system (GNSS) reference often suffers from local minima and high dependency on satel…
Degeneration of Sliding-Window Factor Graph Optimization into Iterated Extended Kalman Filtering
Baoshan Song, Ruijie Xu, Zhi Zhan +1
Sliding window factor graph optimization (SW-FGO) is widely recognized for its robustness, yet its theoretical relationship with the extended Kalman filter (EKF) remains a subject…
Online IMU-odometer Calibration using GNSS Measurements for Autonomous Ground Vehicle Localization
Baoshan Song, Xiao Xia, Penggao Yan +3
Accurate calibration of intrinsic (odometer scaling factors) and extrinsic parameters (IMU-odometer translation and rotation) is essential for autonomous ground vehicle localizatio…
Two stage GNSS outlier detection for factor graph optimization based GNSS-RTK/INS/odometer fusion
Baoshan Song, Penggao Yan, Xiao Xia +3
Reliable GNSS positioning in complex environments remains a critical challenge due to non-line-of-sight (NLOS) propagation, multipath effects, and frequent signal blockages. These…
Credible Uncertainty Quantification under Noise and System Model Mismatch
Penggao Yan, Xingqun Zhan, Rui Sun +1
State estimators often provide self-assessed uncertainty metrics, such as covariance matrices, whose credibility is critical for downstream tasks. However, these self-assessments c…
Jackknife ARAIM: Efficient GNSS Integrity Monitoring for Simultaneous Faults under Non-Gaussian Errors
Penggao Yan, Ronghe Jin, Junyi Zhang +2
Legacy and advanced receiver autonomous integrity monitoring (RAIM/ARAIM) rely on Gaussian error models that can be overly conservative for real-world non-Gaussian errors. This pap…
An Efficient Detector for Faulty GNSS Measurements Detection With Non-Gaussian Noises
Penggao Yan, Baoshan Song, Xiao Xia +2
Fault detection is crucial to ensure the reliability of navigation systems. However, mainstream fault detection methods are developed based on Gaussian assumptions on nominal error…