The UAV Western States Fire Mission: Concepts, Plans and Developmental Advancements

Ambrosia, Vincent G.; Wegener, Steven; Brass, James A.; Schoenung, Susan M.

doi:10.2514/6.2004-6415

Cited by 13 publications

(10 citation statements)

References 1 publication

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“…Other notable projects such as the Altus Cumulus Electrification Study (ACES; Blakeslee et al 2002;Mach et al 2005) and the Western States Fire Mission (Ambrosia et al 2004;Mach et al 2005;Wegener et al 2008) have also used large, high-altitude, longendurance UA. The versatility of small UA (<25 kg takeoff weight) has been embraced by a number of investigators who require flexibility in launch and landing, rapid deployability, and reduced cost of operation, maintenance, and replacement compared to the large class of UA.…”

mentioning

confidence: 99%

The Collaborative Colorado–Nebraska Unmanned Aircraft System Experiment

Houston¹,

Argrow²,

Elston³

et al. 2012

Bull. Amer. Meteor. Soc.

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mentioning

confidence: 99%

The Collaborative Colorado–Nebraska Unmanned Aircraft System Experiment

Houston¹,

Argrow²,

Elston³

et al. 2012

Bull. Amer. Meteor. Soc.

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“…A joint effort between NASA and the US Forest Service to demonstrate fire monitoring in the Western US is described in more detail in Ref. 5.…”

Section: B High-altitude Disaster Monitoring With Wildfire As An Examentioning

confidence: 99%

UAV Autonomous Operations for Airborne Science Missions

Wegener

Schoenung

Totah

et al. 2004

AIAA 3rd "Unmanned Unlimited" Technical Conference, Workshop and Exhibit

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Autonomous UAV science missions hold great promise for improving the productivity of airborne science research and applications. Potential UAV science missions have been reviewed and common autonomy needs have been identified. Preliminary efforts to craft an Intelligent Mission Management architecture for observational autonomy are evolving. Three science missions, along with the architecture, the technology needs and operational requirements for autonomy are highlighted.

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“…Also, UAVs can be used in missions that are dangerous to the health of the crew. Examples of such missions are wind estimation [2], search and rescue operations [3], fire monitoring [4], [5], climate research [6], border patrolling and traffic monitoring [7], [8], and agricultural purposes [9]. In addition, UAVs can be used as communication relays in situations where part of the communication infrastructure is destroyed due to bomb-blast, earthquake or flood and there in no possibility to bridge communication between disjoint nodes on the ground [10], [11].…”

Section: Introductionmentioning

confidence: 99%

An optimal UAV deployment algorithm for bridging communication

Ullah

McClean

Nixon

et al. 2017

2017 15th International Conference on ITS Telecommunications (ITST)

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Abstract-In recent years, Unmanned Aerial Vehicles (UAVs) have attracted the attention of both the military and civilians because of their deployment in situations where part of the communication infrastructure is destroyed due to bomb blast, earthquake, flood, military operations or landslides. Also UAVs can be used in operations such as search and rescue, surveillance, forest fire monitoring, and border patrolling. Deployment of a UAV in a position where it can provide maximum coverage and high throughput is one of the vital problem that needs to be addressed. In this paper, we have proposed an optimal UAV deployment algorithm (OUDA) in order to bridge communication between two static nodes on the ground. In the proposed algorithm the UAV deploys to a position where it can provide the best communication facilities to both the nodes based on the received signal strength (RSS), and distance between nodes and UAV. Simulation results showed that the algorithm provides maximum throughput and low bit error rate (BER) once the UAV is fixed to an optimal position.

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The UAV Western States Fire Mission: Concepts, Plans and Developmental Advancements

Cited by 13 publications

References 1 publication

The Collaborative Colorado–Nebraska Unmanned Aircraft System Experiment

The Collaborative Colorado–Nebraska Unmanned Aircraft System Experiment

UAV Autonomous Operations for Airborne Science Missions

An optimal UAV deployment algorithm for bridging communication

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