Results 191 to 200 of about 112,676 (288)

<i>Erannis jacobsoni</i> disturbance detection based on unmanned aerial vehicle red edge spectral features. [PDF]

Front Plant Sci
Bai L, Huang X, Dashzebeg G, Ariunaa M, Yin S, Bao Y, Bao G, Tong S, Dorjsuren A, Davaadorj E.   +9 more
europepmc   +1 more source

Model Predictive Path‐Following Control for a Quadrotor

PAMM, Volume 26, Issue 1, March 2026.
ABSTRACT Automating drone‐assisted processes is a complex task. Many solutions rely on trajectory generation and tracking, whereas in contrast, path‐following control is a particularly promising approach, offering an intuitive and natural approach to automate tasks for drones and other vehicles.
David Leprich, Mario Rosenfelder, Mario Hermle, Jingshan Chen, Peter Eberhard   +4 more
wiley   +1 more source

Unmanned aerial vehicle routing based on frog-leaping optimization algorithm. [PDF]

Sci Rep
Maleki F, Jamali MAJ, Heidari A.
europepmc   +1 more source

Short‐term responses in weed spatial patterns during early adoption of conservation agriculture practices

Pest Management Science, Volume 82, Issue 3, Page 2627-2638, March 2026.
Weed spatial patterns and temporal stability were shaped by species life forms and the cropping systems implemented in the plots. Weed aggregation was more pronounced in conservation agriculture and among perennials. Patch stability was primarily governed by species life form and was stronger among perennials. Abstract BACKGROUND The aggregated spatial
Gal Rozenberg, Yohay Carmel, Gil Eshel, Lior Blank   +3 more
wiley   +1 more source

A New Algorithm for Visual Navigation in Unmanned Aerial Vehicle Water Surface Inspection. [PDF]

Sensors (Basel)
Han J, Gao X, Song L, Fang J, Tao Y, Deng H, Yao J.   +6 more
europepmc   +1 more source

Prioritized Real‐Time UAV‐Based Vessel Detection for Efficient Maritime Search

Journal of Field Robotics, Volume 43, Issue 2, Page 561-577, March 2026.
ABSTRACT Real‐time vessel detection in maritime environments is crucial for diverse applications requiring speed and accuracy. Static camera views often introduce blind spots, compromising detection efficiency. This paper proposes a novel, real‐time UAV‐based system that uses a dynamic camera control strategy to address this limitation.
Lyes Saad Saoud, Zikai Jia, Siyuan Yang, Muhayy Ud Din, Lakmal Seneviratne, Shaoming He, Irfan Hussain   +6 more
wiley   +1 more source

Bridging Intuition and Data: A Unified Bayesian Framework for Optimizing Unmanned Aerial Vehicle Swarm Performance. [PDF]

Entropy (Basel)
Zhong R, Wang Z, Wang H, Jin Y, Bai S, Gao X.   +5 more
europepmc   +1 more source

From “Mirror Flower, Water Moon” to Multi‐Task Visual Prospective Representation Learning for Unmanned Aerial Vehicles Indoor Mapless Navigation

Journal of Field Robotics, Volume 43, Issue 2, Page 655-680, March 2026.
ABSTRACT Vision‐based deep learning models have been widely adopted in autonomous agents, such as unmanned aerial vehicles (UAVs), particularly in reactive control policies that serve as a key component of navigation systems. These policies enable agents to respond instantaneously to dynamic environments without relying on pre‐existing maps.
Yingxiu Chang, Yongqiang Cheng, John Murray, Muhammad Khalid, Umar Manzoor   +4 more
wiley   +1 more source

MEP-YOLOv5s: Small-Target Detection Model for Unmanned Aerial Vehicle-Captured Images. [PDF]

Sensors (Basel)
Zhou S, Zhang S, Li C, Liu S, Chen D.
europepmc   +1 more source