most citedCauchy-Gaussian Overbound for Heavy-tailed GNSS Measurement Errors

4 citations · 4 across the 8 of their papers we have counts for

collaborators

12 papers

eess.SP2026

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…

eess.SP2026

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…

eess.SP2026

CredibleDFGO: Differentiable Factor Graph Optimization with Credibility Supervision

Liang Qian, Penggao Yan, Penghui Xu +1

Global navigation satellite system (GNSS) positioning is widely used for urban navigation, but the covariance reported by the GNSS solver is often unreliable in urban canyons. Exis…

stat.AP2026

Logistic-aided Huber M-estimator for robust GNSS positioning

Zhengdao Li, Penggao Yan, Li-Ta Hsu

This paper develops a logistic-aided Huber (LAH) M-estimator for robust GNSS positioning under long-tailed, multipath-affected measurement errors. The key idea is to leverage a log…

eess.SP2026

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…

stat.AP2026★ 4 cited

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…

cs.RO2025

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…

cs.RO2025

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…

cs.RO2025

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…

eess.SP2025

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…

eess.SP2025

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…

eess.SP2025

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…