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.
5 day(s) with sentiment data
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GPS vs. GNSS: Understanding the difference in satellite navigation
While often used interchangeably, GPS (Global Positioning System) is a specific satellite navigation system operated by the United States, whereas GNSS (Global Navigation Satellite System) is a broader term encompassing…
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New dynamic graph model forecasts ionospheric irregularities with high accuracy
Researchers have developed a novel approach to forecasting ionospheric irregularities using dynamic graphs and ephemeris conditioning. This method models the ionosphere as a graph where connectivity changes with satelli…
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New Graph Neural Network Enhances Star Identification for Earth Navigation
Researchers have developed SIGNN++, an advanced graph neural network framework designed for robust star identification in GPS-denied environments on Earth. This new system enhances the original SIGNN by incorporating a …
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MatchCityLoc framework enables UAV localization using textureless city models
Researchers have developed MatchCityLoc, a new framework for enabling unmanned aerial vehicles (UAVs) to accurately determine their location using lightweight, textureless city models. This method extracts surface norma…
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Antigravity's A1 drone gains hands-free tracking and gesture controls
Antigravity has released a new accessory bundle for its A1 drone, called the Follow Me bundle. This bundle enhances the drone's capabilities by adding improved subject tracking through a combination of visual tracking a…
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New self-supervised method detects wheel tracks on snow for autonomous driving
Researchers have developed a self-supervised method for detecting wheel tracks on snow-covered roads, crucial for autonomous driving in adverse conditions. The approach utilizes synchronized RGB and thermal (RGB-I) imag…
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Pakistan oil firm designs sovereign AI for HSE incident prediction
An oil and gas operator in Pakistan requires an air-gapped AI system for its health, safety, and environment (HSE) department to predict incidents before they occur. The proposed architecture emphasizes self-hosted mode…
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UAV photogrammetry accuracy significantly impacted by processing parameters, study finds
A new study published on arXiv by Wojciech Gruszczyński investigates the impact of processing parameters on the accuracy of measurements derived from unmanned aerial vehicle (UAV) photogrammetry. The research systematic…
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SatNav benchmark uses satellite imagery for long-horizon UAV navigation
Researchers have introduced SatNav, a new benchmark designed to evaluate vision-language navigation (VLN) capabilities for unmanned aerial vehicles (UAVs) in urban environments. This benchmark utilizes high-resolution s…
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AI predicts driver braking behavior with 0.49m/s^2 MAE
Researchers have developed a novel two-stage framework to predict driver behavior at signalized intersections. The system uses a physics-constrained decision-conditioned autoregressive Transformer to generate longitudin…
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New framework "Speak to the City" uses gaze and language to identify vehicle landmarks
Researchers have developed a new framework called "Speak to the City" to improve how passengers in vehicles query physical landmarks. This system fuses user gaze with natural language to identify Points of Interest, add…
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ZK-Trace paper details certified collusion tracing for GNSS monitoring
A new research paper introduces ZK-Trace, a system designed to trace the source of leaked proprietary classifiers in federated global navigation satellite system (GNSS) monitoring. ZK-Trace combines public identity mark…
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New system tracks tiny, low-power devices like bees with high accuracy
Researchers have developed a novel system for tracking small, low-power devices, such as bees, across large landscapes. This system utilizes a minimal number of Received Signal Strength (RSS) measurements from rotating …
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New multimodal LLM and dataset advance text-guided geo-localization
Researchers have introduced UniGeo, a multimodal large language model designed for text-guided drone geo-localization. This model enhances the ability to identify a target region in a large image gallery using natural l…
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New DECO framework boosts UAV visual localization in GNSS-denied areas
Researchers have developed DECO, a novel framework designed to improve visual localization for low-altitude unmanned aerial vehicles (UAVs) operating in environments where global navigation satellite systems are unavail…
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MIT advances AI with new excavator controls, ionospheric research, and agentic AI course
MIT is advancing AI research through several initiatives, including a new excavator control system designed by Hermano Krebs that mimics human operator mental mapping for more efficient learning. Additionally, Anthea Co…
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Autonomous tractor system AgriNav integrates weed detection and LiDAR navigation for precision farming
Researchers have developed AgriNav, an autonomous tractor system designed for precision paddy farming. This system integrates weed detection and LiDAR navigation to reduce herbicide use and improve efficiency. AgriNav u…
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Visual Odometry Methods Evaluated for UAV Navigation
A new paper evaluates various image matching techniques for visual odometry systems on unmanned aerial vehicles (UAVs). The research aims to improve UAV navigation in environments where Global Navigation Satellite Syste…
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Small Language Models Detect GNSS Spoofing Attacks in Autonomous Vehicles
Researchers have developed a framework using small language models (SLMs) to detect and classify Global Navigation Satellite System (GNSS) spoofing attacks in autonomous vehicles. This method converts driving state data…
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New framework enhances detection of subtle GPS spoofing in autonomous driving
Researchers have developed a new framework called High-Order Liquid Evidence Encoding to improve the detection of gradual GNSS spoofing attacks in autonomous driving systems. This method addresses the challenge of subtl…