SAW (SeekAnyWhere)
Biography
Welcome to the website of SAW (SeekAnyWhere) Lab. Our lab is affiliated with the College of Systems Engineering at National University of Defense Technology. We are mainly engaged in the field of 3D Computer Vision, particularly including planet-scale digital twins, GPS-independent UAV localization, and physics-based multimodal simulation. Most of our works are open-sourced, please explore our Github Page to know more about our projects!
Join Us: We are looking for self-motivated students and postdocs, please contact this Email if you are interested in working with us.
News
Research Summary
Our lab pioneers 3D geospatial intelligence with a focus on:
● Planet-Scale Digital Twins – Generating accurate, photorealistic, semantic, and real-time 3D reconstructions of Earth’s surface for intelligently path planning, equipment and target geolocation, and geospatial analysis.
● GPS-Independent UAV Localization – Enabling drones to geolocate and navigate using various map representations (e.g., textured model, white model, DOM+DSM and DOM+DEM) in GPS-denied environments.
● Physics-Based Multimodal Simulation – Developing immersive virtual environments for UAV perception, planning, and localization training via sensor simulation (RGB, thermal, LiDAR, et.al).



Publications











