ICC 2019 - 2019 IEEE International Conference on Communications (ICC) 2019
DOI: 10.1109/icc.2019.8761375
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Safe and Efficient UAV Navigation Near an Airport

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Cited by 5 publications
(5 citation statements)
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“…However, the high-dimensional mDS features deviate largely from Gaussian. 2) Outliers in radar data. Due to the poor signal-to-noise ratio of radar signal, it is error-prone for human to label the data, which leads to mislabeled data (outliers).…”
Section: Machine-learning Techniques Have Been Utilized To Automaticamentioning
confidence: 99%
See 2 more Smart Citations
“…However, the high-dimensional mDS features deviate largely from Gaussian. 2) Outliers in radar data. Due to the poor signal-to-noise ratio of radar signal, it is error-prone for human to label the data, which leads to mislabeled data (outliers).…”
Section: Machine-learning Techniques Have Been Utilized To Automaticamentioning
confidence: 99%
“…UAVs have been used for many different applications, e.g., package delivery, land surveillance, traffic monitoring and chasing birds in airport. However, UAVs may impose threats to public security, e.g., UAVs near airport may jeopardize the safety of airplanes [2], or UAVs may carry bombs or dangerous chemicals in a terrorist attack. Thus, it has become increasingly important to reliably detect UAVs using radars.…”
Section: Introductionmentioning
confidence: 99%
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“…Unmanned aerial vehicles have a wide application in parcel delivery, ground target monitoring, smart city management, etc. Envisioning the flourish of UAVs in the future, the academy and industry communities have proposed multiple technologies to manage the UAV network.…”
Section: Related Workmentioning
confidence: 99%
“…For example, a drone collided with a Lufthansa jet near Los Angeles International Airport (LAX) on 29 March 2016, sparking concerns about the safety of government buildings, air traffic and other facilities worries [1]. UAVs near an airport could compromise the safety of the aircraft [2], or UAVs may carry bombs or dangerous chemicals in terrorist attacks.…”
Section: Introductionmentioning
confidence: 99%