unmanned aerial vehicle
PulseAugur coverage of unmanned aerial vehicle — every cluster mentioning unmanned aerial vehicle across labs, papers, and developer communities, ranked by signal.
- instance of DagsHub 90%
- instance of CatalyzeX 90%
- used by deep reinforcement learning 90%
- instance of PairUAV 90%
- used by Mappō 90%
- used by Global Positioning System 80%
- used by Open Radio Access Network 80%
- used by DagsHub 70%
- instance of alphaXiv 70%
- instance of ScienceCast 70%
- developed deep reinforcement learning 70%
- used by 6G 70%
- 2026-07-19 research_milestone Engineers developed an AI-optimized drone that uses visual illusions for near-invisibility, presented at the 2026 Robotics: Science and Systems Conference. source
16 day(s) with sentiment data
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New AGC-VLN System Enhances Air-Ground Navigation Collaboration
Researchers have introduced AGC-VLN, a novel training-free baseline for air-ground collaborative Vision-and-Language Navigation (VLN). This system pairs an unmanned aerial vehicle (UAV) with a global bird's-eye view and…
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Generative AI translates RGB to IR for better UAV vehicle detection
Researchers have explored the use of generative AI models for translating RGB images into infrared (IR) imagery to improve vehicle detection in unmanned aerial vehicle (UAV) domains where real-world IR data is scarce. B…
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UAV thermal imagery dataset and models aid unexploded ordnance screening
Researchers have developed a new dataset and object detection models for screening unexploded ordnance (UXO) using UAV thermal imagery. The dataset, collected across four field campaigns in various environmental conditi…
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UAV wildfire segmentation benefits from RGB-infrared fusion, study finds
Researchers have conducted a comparative study on multimodal RGB-infrared fusion for wildfire segmentation using unmanned aerial vehicles (UAVs). The study evaluated three fusion strategies across U-Net, DeepLabV3+, and…
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Event-based camera data improves UAV forecasting with Kalman filter residuals
Researchers have developed a new method for forecasting Unmanned Aerial Vehicle (UAV) bounding boxes using event-based cameras. Their approach combines a constant-velocity Kalman filter with a residual model that predic…
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AI and drones reshape warfare, signaling the rise of "unmanned conflict"
A discussion on the evolving nature of warfare highlights the increasing use of autonomous weapons and artificial intelligence in conflicts. The integration of AI and drones is shifting the landscape of military operati…
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Small UAVs achieve high-fidelity 3D object reconstruction
Researchers have developed a novel system enabling small, sub-100-gram unmanned aerial vehicles (UAVs) to autonomously perform high-fidelity 3D reconstruction of static objects. The system features a closed-loop active …
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New CedarCypress3D dataset aids UAV-LiDAR tree analysis
Researchers have introduced CedarCypress3D, a new annotated dataset designed for advancing individual tree segmentation using UAV-LiDAR data. This dataset, collected in planted cedar and cypress forests in Japan, includ…
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New framework evaluates temporal stability in UAV perception models
Researchers have developed a new evaluation framework to assess the temporal semantic stability of open-vocabulary segmentation models used in unmanned aerial vehicles (UAVs). The framework, which utilizes metric 3D fus…
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New methods enhance 3D reconstruction for large-scale UAV mapping · 2 papers
Two new research papers introduce advanced methods for 3D reconstruction using unmanned aerial vehicles (UAVs). On-the-Fly3R focuses on handling unordered image streams and improving robustness through a validation-reje…
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New Transformer Model Enhances Multimodal UAV Perception
Researchers have developed GAAT, a Geometry-Aware Alignment Transformer designed for multimodal perception in unmanned aerial vehicles (UAVs). This model addresses challenges in integrating data from various sensors lik…
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New AERIS framework enhances multi-UAV sensing and communication
Researchers have developed AERIS, an offline policy improvement framework designed for integrated sensing and communication (ISAC) in multi-unmanned aerial vehicle (UAV) systems. This approach learns from existing fligh…
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New AI model enhances low-light drone imagery for bridge damage detection
Researchers have developed DaL-MoE, a new image restoration technique designed to improve bridge damage detection in low-light conditions using unmanned aerial vehicles (UAVs). This method employs an ISP-aware synthesis…
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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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AirAlign framework enhances UAV last-meter navigation with geometry-aware features
Researchers have developed AirAlign, a new framework designed for precise relative pose alignment of unmanned aerial vehicles (UAVs) during the critical last-meter navigation phase. This RGB-only system leverages a pret…
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AI research tackles GPS-spoofed drone separation
Researchers have developed a new method for ensuring separation between small Unmanned Aircraft Systems (sUAS) even when GPS signals are degraded or spoofed. This approach uses Multi-Agent Reinforcement Learning (MARL) …
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JANUS module enhances black-box optimization with Jacobian alignment
Researchers have developed JANUS, a novel plug-and-play module designed to enhance population-based optimizers like CMA-ES. JANUS extracts local geometric signals from recent evaluation traces without replacing the host…
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Few-shot fine-tuning outperforms unsupervised adaptation for cross-crop weed detection
Researchers have investigated the transferability of agricultural weed detection models across different crops and fields. They found that few-shot fine-tuning, using as few as 25 labeled examples from the target crop, …
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Research paper analyzes cost of physics priors in machine learning
A new research paper published on arXiv explores the cost associated with incorporating physics priors into machine learning models. The study demonstrates that this cost is largely influenced by free features and the v…
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Cyberpunk: Edgerunners Season 2 Trailer Reveals Major Cyberpunk 2077 Plot Connection
The third trailer for "Cyberpunk: Edgerunners" Season 2 has revealed a significant connection to the main storyline of the video game "Cyberpunk 2077." Specifically, a character named D is shown with a Relic chip, a pie…