Small Unmanned Aircraft Evaluated for Avalanche Control

被引:8
|
作者
McCormack, Edward [1 ]
Stimberis, John [2 ]
机构
[1] Univ Washington, Dept Civil & Environm Engn, Seattle, WA 98105 USA
[2] Washington State Dept Transportat Snoqualmie Pass, Snoqualmie Pass, WA 98068 USA
关键词
SYSTEMS;
D O I
10.3141/2169-18
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The Washington State Department of Transportation's (DOT) snow avalanche control program reduces winter roadway closure times and hazards to motorists. The University of Washington and the Washington State DOT evaluated small unmanned aircraft systems (UASs) as a tool to enhance this program. Because of military investment, UAS technology has dropped in cost as it has become increasingly capable and easier to operate. Commercially available UASs, which fly autonomously, can be operated off a roadway and can collect low-cost, real-time aerial imagery while also carrying payloads. This project conducted a series of test flights involving both fixed- and rotary-wing (helicopter) UASs over a roadway in mountainous terrain. The flights demonstrated that UASs can conduct snowpack and terrain surveillance and can accurately drop explosive charges such as those used to trigger controlled avalanches. The rotary-wing UAS was particularly usable because of its ability to hover, which provided a stable camera platform, and because it required minimal area to land. The reliability of UASs is a concern, and their capabilities may be challenged by mountainous terrain and weather. This problem may be reduced as UASs become either less expensive and more expendable or more reliable and all-weather capable. A major barrier to use of UASs is the need to obtain approval to fly from FAA, a process that can be time-consuming and restrictive. FAA is currently updating its plans to integrate UASs into the national airspace, and a number of technology-based solutions are being considered.
引用
收藏
页码:168 / 173
页数:6
相关论文
共 50 条
  • [21] Natural resource management with a small unmanned aircraft
    Perry, John
    Evers, Brandon
    Rambo, Thomas
    Reed, Thomas
    Burgess, Matthew
    AUVSI Unmanned Systems North America Conference 2011, 2011, 1 : 179 - 197
  • [22] Optimal Guidance of a Relay Aircraft to Extend Small Unmanned Aircraft Range
    Pachter, Meir
    Hansen, John
    Jacques, David
    Blue, Paul
    INTERNATIONAL JOURNAL OF MICRO AIR VEHICLES, 2010, 2 (03) : 157 - 180
  • [23] Adaptive receding horizon control for vision-based navigation of small unmanned aircraft
    Frew, Eric W.
    Langelaan, Jack
    Joo, Sungmoon
    2006 AMERICAN CONTROL CONFERENCE, VOLS 1-12, 2006, 1-12 : 2160 - +
  • [24] Transition Flight Control of A Small Unmanned Tilt Rotor Aircraft with Distributed Electric Propulsion
    Zhao, Qingfeng
    Zhou, Zhou
    Dong, Qiyuan
    PROCEEDINGS OF THE 2021 ASIA-PACIFIC INTERNATIONAL SYMPOSIUM ON AEROSPACE TECHNOLOGY (APISAT 2021), VOL 2, 2023, 913 : 395 - 409
  • [25] The high performance control for small rotary-wing unmanned aircraft based on composite control method
    Lei, Xusheng
    Lu, Pei
    Liu, Fang
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2014, 36 (08) : 1033 - 1040
  • [26] Modeling and Control for Morphing Unmanned Aircraft Vehicle
    Li, Mengtao
    Guo, Lei
    Wu, Kejian
    2016 IEEE CHINESE GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC), 2016, : 1226 - 1231
  • [27] Target geolocation from a Small Unmanned Aircraft System
    Madison, Richard
    DeBitetto, Paul
    Olean, A. Rocco
    Mac Peebles
    2008 IEEE AEROSPACE CONFERENCE, VOLS 1-9, 2008, : 3179 - +
  • [28] Airborne Communication Networks for Small Unmanned Aircraft Systems
    Frew, Eric W.
    Brown, Timothy X.
    PROCEEDINGS OF THE IEEE, 2008, 96 (12) : 2008 - 2027
  • [29] Obstacle avoidance with sensor uncertainty for small unmanned aircraft
    Frew, E
    Sengupta, R
    2004 43RD IEEE CONFERENCE ON DECISION AND CONTROL (CDC), VOLS 1-5, 2004, : 614 - 619
  • [30] Guaranteed Road Network Search with Small Unmanned Aircraft
    Dille, Michael
    Grocholsky, Ben
    Singh, Sanjiv
    2014 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2014), 2014, : 4789 - 4796