نتایج جستجو برای: unmanned aerial vehicles
تعداد نتایج: 86636 فیلتر نتایج به سال:
We describe an algorithm for independent motion detection from video sequences recorded from a camera moving in a 3D rich environment. Such sequences are typical in the case of Unmanned Aerial Vehicles flying at low altitude over varied terrain and also for ground vehicles. We present detection results for both scenarios.
In this paper we present an algorithm for the autonomous navigation of an unmanned aerial vehicle (UAV) following a moving target. The UAV in consideration is a fixed wing aircraft that has physical constraints on airspeed and maneuverability. The target however is not considered to be constrained and can move in any general pattern. We show a single circular pattern navigation algorithm that w...
This study explored public risk perception of unmanned aerial vehicles (UAV) for civilian commercial operations, including cargo and passenger transportation. Civilian operators are considering the use of UAVs to increase safety while reducing labor costs, but negative perceptions may delay the advancement of these aircraft. To document perception of UAV or UAS aircraft for commercial operation...
Unmanned Aerial Vehicles (UAVs) promise a low cost means to achieve a "bird's eye view" and a rapid response for a wide array of transportation operations and planning applications, including incident response, coordination among a network of traffic signals, traveler information, emergency vehicle guidance, and measurement of typical roadway usage. However, many obstacles to operational use ex...
This paper aims to enhance the understanding of UAV cost metrics and their uses. The paper is organized into three main areas: (1) overview of current approaches for aircraft, (2) life cycle issues with UAV cost estimation, and (3) cost metrics and model approach as applied to UAVs. As a result of this work we hope to provide a better understanding of the cost factors influencing the recently p...
This paper presents an improvement of the cognitive architecture, 4D/RCS, developed by the NIST. This improvement consist of the insertion of Fuzzy Logic cells (FLCs), in different parts and hierarchy levels of the architecture, and the adaptation of this architecture for Unmanned Aerial Vehicles (UAVs). This advance provides an improvement in the functionality of the system based on the uses o...
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