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RADAR Based Collision Avoidance for ...
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Moses, Allistair A.
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RADAR Based Collision Avoidance for Unmanned Aircraft Systems.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
RADAR Based Collision Avoidance for Unmanned Aircraft Systems./
作者:
Moses, Allistair A.
面頁冊數:
139 p.
附註:
Source: Dissertation Abstracts International, Volume: 75-01(E), Section: B.
Contained By:
Dissertation Abstracts International75-01B(E).
標題:
Engineering, Robotics. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3597973
ISBN:
9781303463532
RADAR Based Collision Avoidance for Unmanned Aircraft Systems.
Moses, Allistair A.
RADAR Based Collision Avoidance for Unmanned Aircraft Systems.
- 139 p.
Source: Dissertation Abstracts International, Volume: 75-01(E), Section: B.
Thesis (Ph.D.)--University of Denver, 2013.
Unmanned Aircraft Systems (UAS) have become increasingly prevalent and will represent an increasing percentage of all aviation. These unmanned aircraft are available in a wide range of sizes and capabilities and can be used for a multitude of civilian and military applications. However, as the number of UAS increases so does the risk of mid-air collisions involving unmanned aircraft. This dissertation aims to present one possible solution for addressing the mid-air collision problem in addition to increasing the levels of autonomy of UAS beyond waypoint navigation to include preemptive sensor-based collision avoidance. The presented research goes beyond the current state of the art by demonstrating the feasibility and providing an example of a scalable, self-contained, RADAR-based, collision avoidance system. The technology described herein can be made suitable for use on a miniature (Maximum Takeoff Weight < 10kg) UAS platform. This is of paramount importance as the miniature UAS field has the lowest barriers to entry (acquisition and operating costs) and consequently represents the most rapidly increasing class of UAS.
ISBN: 9781303463532Subjects--Topical Terms:
1018454
Engineering, Robotics.
RADAR Based Collision Avoidance for Unmanned Aircraft Systems.
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Unmanned Aircraft Systems (UAS) have become increasingly prevalent and will represent an increasing percentage of all aviation. These unmanned aircraft are available in a wide range of sizes and capabilities and can be used for a multitude of civilian and military applications. However, as the number of UAS increases so does the risk of mid-air collisions involving unmanned aircraft. This dissertation aims to present one possible solution for addressing the mid-air collision problem in addition to increasing the levels of autonomy of UAS beyond waypoint navigation to include preemptive sensor-based collision avoidance. The presented research goes beyond the current state of the art by demonstrating the feasibility and providing an example of a scalable, self-contained, RADAR-based, collision avoidance system. The technology described herein can be made suitable for use on a miniature (Maximum Takeoff Weight < 10kg) UAS platform. This is of paramount importance as the miniature UAS field has the lowest barriers to entry (acquisition and operating costs) and consequently represents the most rapidly increasing class of UAS.
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