Integrity-Constrained Factor Graph Optimization
ongoingThis project investigates integrity monitoring within factor graph optimization frameworks for GNSS positioning. The goal is to provide reliable position solutions with quantified confidence bounds for safety-critical applications such as autonomous driving and aviation.
Research focuses on:
- Integrating integrity constraints into factor graph formulations
- Non-Gaussian error modeling for urban GNSS
- Protection level computation within optimization-based frameworks
Funding: RGC Research Impact Fund (R5009-21)
Started: 2021
IPNL — Intelligent Positioning and Navigation Laboratory