most citedOptimization-Based Outlier Accommodation for Tightly Coupled RTK-Aided Inertial Navigation Systems in Urban Environments

7 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2025

Constrained Factor Graph Optimization for Robust Networked Pedestrian Inertial Navigation

Yingjie Hu, Wang Hu

This paper presents a novel constrained Factor Graph Optimization (FGO)-based approach for networked inertial navigation in pedestrian localization. To effectively mitigate the dri…

cs.RO2025

Data-Dependent Hidden Markov Model with Off-Road State Determination and Real-Time Viterbi Algorithm for Lane Determination in Autonomous Vehicles

Mike Stas, Wang Hu, Jay A. Farrell

Lane determination and lane sequence determination are important components for many Connected and Automated Vehicle (CAV) applications. Lane determination has been solved using Hi…

eess.SY2024

Convex Reformulation of Information Constrained Linear State Estimation with Mixed-Binary Variables for Outlier Accommodation

Wang Hu, Zeyi Jiang, Hamed Mohsenian-Rad +1

This article considers the challenge of accommodating outlier measurements in state estimation. The Risk-Averse Performance-Specified (RAPS) state estimation approach addresses out…

cs.RO2024★ 7 cited

Optimization-Based Outlier Accommodation for Tightly Coupled RTK-Aided Inertial Navigation Systems in Urban Environments

Wang Hu, Yingjie Hu, Mike Stas +1

Global Navigation Satellite Systems (GNSS) aided Inertial Navigation System (INS) is a fundamental approach for attaining continuously available absolute vehicle position and full…

eess.SY2024★ 7 cited

Outlier Accommodation for GNSS Precise Point Positioning using Risk-Averse State Estimation

Wang Hu, Jean-Bernard Uwineza, Jay A. Farrell

Reliable and precise absolute positioning is necessary in the realm of Connected Automated Vehicles (CAV). Global Navigation Satellite Systems (GNSS) provides the foundation for ab…