global navigation satellite system
PulseAugur coverage of global navigation satellite system — every cluster mentioning global navigation satellite system across labs, papers, and developer communities, ranked by signal.
8 day(s) with sentiment data
-
New framework enhances autonomous driving localization with spatio-temporal context
Researchers have developed a new framework for cross-view visual localization in autonomous driving, enhancing accuracy by incorporating spatio-temporal context. This method aggregates historical frame data to improve f…
-
LoDA method advances 3D LiDAR change detection with new benchmark
Researchers have developed LoDA, a novel method for detecting object-level changes in 3D LiDAR maps, crucial for autonomous driving and smart-city services. This approach integrates detection-limit-aware registration an…
-
New protocol assesses 3D reconstruction reliability without ground truth
Researchers have developed a new protocol called "Track-Leakage-Free Hold-Out Self-Validation" to assess the reliability of 3D reconstructions from photogrammetric inspection without external ground truth data. This pro…
-
New MASAC controller enables cooperative indoor UAV guidance
Researchers have developed a new cooperative indoor guidance framework for unmanned aerial vehicles (UAVs) that utilizes a shared voxel-map world model combined with a multi-agent Soft Actor-Critic (MASAC) controller. T…
-
New visual localization pipeline achieves sub-centimeter accuracy
Researchers from the University of Applied Sciences Northwestern Switzerland have introduced a new visual localization pipeline that leverages high-resolution street-level imagery to achieve sub-centimeter accuracy. Thi…
-
DAP-Pose achieves state-of-the-art in robust multi-modal pose estimation
Researchers have developed DAP-Pose, a novel end-to-end model for robust multi-modal pose estimation. This system integrates visual, inertial, and GNSS measurements using a Bi-level Cross-modal Fusion (BCF) module to ca…
-
New DTIF framework uses Delaunay triangulation for forest mapping
Researchers have developed DTIF, a new framework for robust loop closure detection in complex forest environments. This system utilizes Delaunay triangulation of tree trunks to create a compact scene representation, ove…
-
New RIM framework enhances UAV visual localization efficiency
Researchers have developed a new framework called Retrieval-In-Matching (RIM) to improve the global visual localization of unmanned aerial vehicles (UAVs). RIM addresses challenges posed by differences in acquisition ti…
-
New framework detects GNSS spoofing with 95% accuracy in mobile networks
Researchers have developed a new framework for detecting GNSS spoofing within 3GPP mobile networks, achieving over 95% accuracy. This framework is designed to align with 3GPP standards, addressing a critical need for ne…
-
New RASR method enhances UAV navigation without GNSS
Researchers have developed a new method called Range-Aware Scale Recovery (RASR) to improve metric navigation for unmanned aerial vehicles (UAVs) when Global Navigation Satellite System (GNSS) signals are unavailable. R…
-
New GAIA framework enhances UWB sensing for work-zone reconstruction · 1 source tracked
Researchers have developed GAIA, a novel geometry-aware framework designed to improve the accuracy of work-zone geometry perception using ultra-wideband (UWB) sensing. This system addresses challenges like non-line-of-s…
-
SASGeo framework enhances UAV navigation in GNSS-denied environments
Researchers have developed SASGeo, a novel framework for semantic map localization designed to help unmanned aerial vehicles (UAVs) maintain accurate positioning in environments where global navigation satellite systems…
-
Micro-UAVs navigate indoors using only monocular vision for search and rescue
Researchers have developed a novel indoor navigation system for micro-unmanned aerial vehicles (UAVs) designed for search-and-rescue operations. This system, named TRISTAR, exclusively uses monocular vision, eliminating…
-
Camera-LiDAR fusion system improves vessel tracking with adaptive sensor selection
Researchers have developed a new particle filter system that combines data from cameras and LiDAR sensors for improved vessel tracking. This system uses an adaptive policy to select the most informative sensor at any gi…
-
Meta-Reinforcement Learning Enhances RF Interference Localization
Researchers have developed a new method for localizing Global Navigation Satellite System (GNSS) interference sources using active sensing and meta-reinforcement learning. The framework models the localization task as a…
-
New ML frameworks enhance vehicle localization in GPS-denied environments
Researchers have developed two novel machine learning frameworks to improve vehicle localization, particularly in environments where GPS signals are unreliable. The first, PRML2, combines Kalman filtering with physics-r…
-
New calibration method boosts AUV navigation accuracy without GNSS
Researchers have developed an Information-Aided Calibration (IAC) method to improve the accuracy of Doppler velocity log (DVL) measurements for autonomous underwater vehicles (AUVs). This new approach enhances conventio…
-
SemCityLoc system uses semantic 3D city models for aerial localization
Researchers have developed SemCityLoc, a novel system for aerial 6DoF localization that utilizes semantic 3D city models instead of relying on precise GNSS signals or detailed 3D reconstructions. This method reframes po…
-
New inertial tracking system enhances shared bike localization in GNSS-blocked areas
Researchers have developed a new inertial tracking framework for large-scale shared bikes, particularly in environments where Global Navigation Satellite Systems (GNSS) are unreliable, such as urban canyons. This system…
-
New PiDR framework boosts autonomous navigation without GPS
Researchers have developed PiDR, a novel framework for autonomous platforms that enhances navigation accuracy when external signals like GPS are unavailable. PiDR integrates physics principles directly into its deep lea…