Aerial Vehicle Management (AVM) is a rapidly evolving field that encompasses the use of unmanned aerial vehicles (UAVs) for a wide range of applications, including military, civilian, and commercial purposes. AVM involves the integration of various technologies, such as sensors, communication systems, navigation systems, and software, to enable UAVs to operate safely and efficiently. One of the key aspects of AVM is the development of algorithms and software that enable UAVs to autonomously navigate, avoid obstacles, and interact with other UAVs. This requires the use of advanced machine learning and artificial intelligence techniques, which are constantly evolving to improve the capabilities of UAVs. Another important aspect of AVM is the management of UAV fleets, which involves coordinating the activities of multiple UAVs to achieve a common goal. This requires the use of sophisticated communication and control systems, as well as the ability to monitor and analyze data in real-time. AVM also involves the development of regulations and standards to ensure the safe and responsible use of UAVs. This includes issues such as airspace management, privacy concerns, and the potential impact of UAVs on the environment. Overall, Aerial Vehicle Management is a complex and dynamic field that requires the integration of multiple technologies and disciplines. As the use of UAVs continues to expand, AVM will play an increasingly important role in ensuring the safe and efficient operation of these vehicles.
UAVs, machine learning, fleet management, regulations, safety
CITATION : "Daniel Scott. 'Aerial Vehicle Management.' Design+Encyclopedia. https://design-encyclopedia.com/?E=253724 (Accessed on April 19, 2025)"
Aerial Vehicle Management (AVM) is a field of study that focuses on the use of unmanned aerial vehicles (UAVs) for various applications. UAVs are a type of aircraft that can be remotely operated by a pilot or autonomously by onboard computers. AVM involves the use of sensors, communication systems, navigation systems, and other technologies to enable UAVs to safely and efficiently carry out their missions. AVM also involves the development of algorithms and software to enable UAVs to autonomously navigate, avoid obstacles, and interact with other UAVs.
UAV, drones, autonomy, navigation, obstacle avoidance, remote operation, flight control.
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