Neural city maps for GNSS nlos prediction
Tall city structures and street-side vegetation block signals from the Global Navigation
Satellite Systems (GNSS) and impede localization in urban settings. To improve accuracy …
Satellite Systems (GNSS) and impede localization in urban settings. To improve accuracy …
Neural city maps for gnss shadow matching
Shadow matching is a core component of urban localization with the Global Navigation
Satellite System (GNSS). Shadow matching provides a general formulation to match line-of …
Satellite System (GNSS). Shadow matching provides a general formulation to match line-of …
Self-Supervised Tight Coupling of GNSS with Neural Radiance Fields for UAV Navigation
Unmanned Aerial Vehicles (UAVs) and urban air mobility (UAM) technologies are
revolutionizing transportation and service delivery in urban environments. However, these …
revolutionizing transportation and service delivery in urban environments. However, these …
Robust 3D Map-Matching with Visual Environment Features for Neural City Maps
In GNSS-degraded environments such as urban canyons, vision-based localization systems
can be a critical method for obtaining accurate and robust positioning solutions. Typically …
can be a critical method for obtaining accurate and robust positioning solutions. Typically …
Fusing GNN-enhanced GNSS with Neural Radiance Fields for UAV Navigation
Global Navigation Satellite System (GNSS) is a commonly used sensor for Unmanned Aerial
Vehicle (UAV) localization. However, GNSS-based localization is affected by challenges at …
Vehicle (UAV) localization. However, GNSS-based localization is affected by challenges at …