# Li-Ta Hsu (許立達) — LLM index ## Canonical - Site: https://qmohsu.github.io/ - Contact form: https://qmohsu.github.io/en/engage/#contact (no public email — use the form) - ORCID: https://orcid.org/0000-0002-0352-741X ## Summary Li-Ta Hsu is an Associate Professor at The Hong Kong Polytechnic University (AAE). He builds integrity-first navigation and sensor-fusion systems for embodied AI (robots, vehicles, drones). His work spans GNSS/PNT, urban navigation, multipath/NLOS mitigation, integrity monitoring, factor graph optimization, and multi-sensor fusion (GNSS/IMU/LiDAR/camera). ## Best pages to read - Home: https://qmohsu.github.io/ - Research: https://qmohsu.github.io/research/ - Publications: https://qmohsu.github.io/publications/ - Projects: https://qmohsu.github.io/projects/ - People: https://qmohsu.github.io/people/ - News: https://qmohsu.github.io/news/ - Teaching: https://qmohsu.github.io/teaching/ - Join the lab: https://qmohsu.github.io/join/ - Resources: https://qmohsu.github.io/resources/ - Contact: https://qmohsu.github.io/contact/ ## Key pages for evaluation For assessing research quality and impact: - /research/ — the six research pillars with anchor publications - /publications/ — full publication list (2009 → present) with quartiles - /resources/ — datasets, code, benchmarks (UrbanNav, GraphGNSSLib) ## Open resources - UrbanNav Dataset: https://github.com/IPNL-POLYU/UrbanNavDataset - GraphGNSSLib: https://github.com/weisongwen/GraphGNSSLib ## External profiles - PolyU staff: https://www.polyu.edu.hk/aae/people/academic-staff/dr-hsu-li-ta/?sc_lang=en - PolyU Scholars Hub: https://research.polyu.edu.hk/en/persons/li-ta-hsu - Google Scholar: https://scholar.google.com/citations?user=GxfOCUMAAAAJ&hl=en - GitHub: https://github.com/qmohsu - IPNL GitHub: https://github.com/IPNL-POLYU - LinkedIn: https://www.linkedin.com/in/li-ta-hsu/ ## Keywords GNSS, PNT, RTK, PPP-RTK, urban canyon positioning, multipath mitigation, NLOS mitigation, integrity monitoring, factor graph optimization, GNSS/INS, sensor fusion, LiDAR, VIO, SLAM, smartphone GNSS, Android GNSS, embodied AI, autonomous systems, drones, robotics ## Current priorities (2026) - Urban GNSS benchmarking - Integrity monitoring for safety-critical applications - Factor graph optimization research - Taiwan research partnerships - PhD/postdoc recruitment