Unmanned Aerial Vehicles
PulseAugur coverage of Unmanned Aerial Vehicles — every cluster mentioning Unmanned Aerial Vehicles across labs, papers, and developer communities, ranked by signal.
4 天有情绪数据
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Robots use aerial scouts to map unknown terrain efficiently
Researchers have developed a new planning framework called Scout-Assisted Planning (SAP) for heterogeneous robot teams operating in partially known environments. This system uses Unmanned Aerial Vehicles (UAVs) to scout…
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UAV object detection improved by decoupling target motion from camera disturbances
Researchers have developed a new vision-only framework to improve object detection from Unmanned Aerial Vehicles (UAVs). This method effectively separates the motion of detected targets from the disturbances caused by t…
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New multispectral dataset and model advance UAV detection
Researchers have introduced UAVNet-MS, a novel multispectral dataset designed for the detection of small unmanned aerial vehicles (UAVs). This dataset includes 15,618 RGB-MSI data cubes with bounding box annotations, sp…
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Quantum-enhanced hybrid model shows promise for UAV anomaly detection
Researchers have developed a new method for detecting anomalies in unmanned aerial vehicles (UAVs) by combining quantum machine learning with classical techniques. This approach uses a leakage-free evaluation protocol o…
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New adaptive Kalman filter boosts UAV state estimation during outages
Researchers have developed a new adaptive Kalman filter, the N-Deep Recurrent Sage-Husa Filter (NDR-SHKF), designed to improve state estimation for Unmanned Aerial Vehicles (UAVs). This advanced filter replaces the stat…
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Aerospace interconnects firm Beichen Aerospace lands tens of millions in funding
Beichen Aerospace, a company specializing in interconnected components for aerospace electrical systems, has secured tens of millions in Series A funding from Yunqi Capital. The company offers end-to-end solutions from …
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AI research integrates reward shaping with control functions for safer UAV navigation
Researchers have developed a novel approach for Unmanned Aerial Vehicle (UAV) navigation that combines reinforcement learning with control Lyapunov and barrier functions. This method aims to improve both mission efficie…