2014
DOI: 10.21236/ada620843
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An Analysis of Human Causal Factors in Unmanned Aerial Vehicle (UAV) Accidents

Abstract: Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instruction, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to ABSTRACT (maximum 200 words)Human error has been identified as the major cont… Show more

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Cited by 15 publications
(7 citation statements)
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“…If the controllers have insufficient knowledge, they might perform poor subsequent decision making. Perception error is caused by misconception or misjudgment (Oncu & Yildiz, 2014). Basic knowledge requirement for the UAS pilot are UAS regulations, airspace classification and operation, weather, loading and performance and operations such as radio communications procedures, airport operations, emergency procedures, aeronautical decision making, physiology and maintenance and inspection procedures (The Federal Aviation Administration, 2018).…”
Section: Pilot Skill and Competencymentioning
confidence: 99%
“…If the controllers have insufficient knowledge, they might perform poor subsequent decision making. Perception error is caused by misconception or misjudgment (Oncu & Yildiz, 2014). Basic knowledge requirement for the UAS pilot are UAS regulations, airspace classification and operation, weather, loading and performance and operations such as radio communications procedures, airport operations, emergency procedures, aeronautical decision making, physiology and maintenance and inspection procedures (The Federal Aviation Administration, 2018).…”
Section: Pilot Skill and Competencymentioning
confidence: 99%
“…In [29] an analysis was carried out 68 UAV accidents that occurred between 2011 and 2014 using information from Naval Safety Center in Norfolk, Virginia. The accidents were classified (Figure 11) according to severity, with Class A being the most severe in terms of material and human cost and Class E being the least severe.…”
Section: Issue Number Percentagementioning
confidence: 99%
“…Consequently, in this paper, the data necessary to drive UAV risk model was collected through a review of previous research papers [35], [59]- [62], multiple online accident and incident databases 23 , and through a general website search 24 . This was done by posing this question: what are the common factors that lead to UAVs accidents and incidents ?.…”
Section: B Quantitative Safety Analysis: Bayesian Network Approachmentioning
confidence: 99%
“…The analysis in [59] was based on summaries of UAV incidents between 2010 and August 2014. This information was obtained from the Naval Safety Center in Norfolk, Virginia.…”
Section: B Quantitative Safety Analysis: Bayesian Network Approachmentioning
confidence: 99%