Pillar lead: Li-Ta Hsu
Dense cities are not an exception case for GNSS; they are the stress test. We study how GNSS measurements fail — NLOS reception, multipath, diffraction, Doppler distortion, heavy-tailed errors — and detect and quantify these failures at the measurement layer before they corrupt downstream estimation.
The goal is not only to correct bad measurements but to model their reliability, so the rest of the navigation stack knows when to trust them. This pillar is the measurement-layer foundation for the Environment-Aware, Optimization-Based Estimation, and Integrity pillars.
Lab Contributors
Related Projects
- Multi-Agent Collaborative GNSS for Intelligent Transportation Systems completed
- UrbanNav active
- Robust GNSS Navigation for Urban Air Traffic Management active
- UrbanLoco maintained
- GraphGNSSLib active
- 3D Map-Aided GNSS (3DMA) for Smartphone and IoT active
- Environment-Aware GNSS for UAS and Autonomous Driving active
- GPS_VT_SDR: Receiver-Level GNSS Signal Processing Platform archived-influential