Results 31 to 40 of about 62,582 (219)
ATC Human Factors Involved in RPAS Contingency Management in Non-Segregated Airspace
Applied Sciences, 2023 Objectives: The overall approach towards Remotely Piloted Aerial System integration into a non-segregated airspace is that the unmanned vehicles should be able to fit into the current air traffic management system, thus meeting all the technical and ...
Angelica Reyes-Muñoz +3 more
doaj +1 more source
Adaptive Path Guidance Law for a Small Fixed-Wing UAS with Bounded Bank Angle
DronesThis study deals with the path-following guidance of a fixed-wing unmanned aerial system (UAS) in conjunction with parameter adaptation. Utilizing a backstepping control design approach, a path-following control algorithm is formulated for the roll ...
Suhyeon Kim, Dongwon Jung
doaj +1 more source
Study of Free‐Space Optical Quantum Network: Review and Prospectives
Advanced Science, EarlyView.Free from the constraints of fiber connections, free‐space quantum network enables longer and more flexible quantum network connections. This review summarizes and comparatively analyzes free‐space quantum network experiments based on ground stations, satellites, and mobile platforms.
Hua‐Ying Liu, Zhenda Xie, Shining Zhu
wiley +1 more source
IEEE Access, 2020 The main goal of this research is to evaluate the Air Traffic Controller (ATCo) workload considering the Unmanned Aircraft System (UAS) integration into the National Airspace System (NAS) through fast-time simulations, and including futuristic scenarios ...
Derick Moreira Baum +4 more
doaj +1 more source
The Hidden Human Factors in Unmanned Aerial Vehicles [PDF]
, 2008 In April 2006, an Unmanned Aerial Vehicle crashed near Nogales, Arizona. This incident is of interest because it triggered one of the most sustained studies into the causes of failure involving such a vehicle.
Johnson, C.W.
core
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs
Advanced Intelligent Systems, EarlyView.This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza +2 more
wiley +1 more source
An Aerial Deployed Unmanned Autonomous Glider for Cross-Channel Flight [PDF]
, 2015 This paper describes the technical and operational challenges of the first cross-Channel flight performed by an unmanned autonomous glider. The glider chosen for the attempt was a quarter scale Slingsby Type 45 Swallow.
Jabbal, M
core +3 more sources
InfoMat, EarlyView.To address the low through‐plane thermal conductivity (λ⊥) of carbon fiber/epoxy composites, which poses thermal management challenges in the expanding low‐altitude economy, we incorporated spherical thermally reduced graphene (s‐TRG) as a bridging filler. This architectural design achieved a λ⊥ of 2.73 W m–1 K–1 at 10 wt% loading.
Shengyuan Gao +5 more
wiley +1 more source
Investigation into Unmanned Aircraft System Incidents in the National Airspace System
International Journal of Aviation, Aeronautics, and Aerospace, 2016 With the promulgation of Federal Aviation Regulations for small unmanned aircraft systems, the volume of unmanned flight operations is expected to increase, which demands an analysis of potential hazards to the National Airspace System.
Rohan S Sharma
doaj +1 more source