Visual Detection of Trespassing of a Small Unmanned Aerial Vehicle into an Airspace

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Author(s)

  • Kai Way Li
  • S. J. Chang
  • Lu Peng
  • Caijun Zhao

Detail(s)

Original languageEnglish
Title of host publicationAdvances in Human Factors in Robots and Unmanned Systems - Proceedings of the AHFE 2019 International Conference on Human Factors in Robots and Unmanned Systems
EditorsJessie Chen
PublisherSpringer Verlag
Pages230-237
ISBN (Electronic)9783030204679
ISBN (Print)9783030204662
Publication statusPublished - Jul 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume962
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Title10th International Conference on Applied Human Factors and Ergonomics (AHFE 2019)
PlaceUnited States
CityWashington
Period24 - 28 July 2019

Abstract

Small unmanned aerial vehicles (sUAV) have becoming widespread both in commercial and for entertainment usages. They have been used in both business and entertainment purposes. There are sUAV-induced problems. sUAV trespassing into prohibited areas has been the major one of them. A sUAV was guided using a remote controller to suspending in the air. The sUAV may enter a prohibited public area. It may also enter private areas unwelcomed. We conducted a study to quantify human subjects’ sensitivity in discovering the trespassing of a sUAV into a specific area. Twenty human subjects were requested to determine whether the sUAV has trespassed in the test field or not by answering the question “whether the sUAV is inside the test field?” by replying a score from 1- definitely yes to 5- definitely no. The conditional probabilities of finding trespassing of the sUAV were calculated. A receivers’ operating characteristics curve was plotted. The P(A) was calculated and was adopted to represent the sensitivity of the subjects in detecting the trespassing of the drone. The outcomes of the analysis of variance testing the effects of the direction on the probabilities of replying “definitely yes” and “definitely or probably yes” were both insignificant. Neither were the effects of direction on the P(A) significant.

Research Area(s)

  • Drone ergonomics, Signal detection, Subjective rating, Trespassing, Unmanned aircraft vehicle

Citation Format(s)

Visual Detection of Trespassing of a Small Unmanned Aerial Vehicle into an Airspace. / Li, Kai Way; Chang, S. J.; Peng, Lu; Zhao, Caijun.

Advances in Human Factors in Robots and Unmanned Systems - Proceedings of the AHFE 2019 International Conference on Human Factors in Robots and Unmanned Systems. ed. / Jessie Chen. Springer Verlag, 2019. p. 230-237 (Advances in Intelligent Systems and Computing; Vol. 962).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review