Safety Risk Management of Unmanned Aircraft Systems

Clothier, Reece; Walker, Rodney A.

doi:10.1007/978-90-481-9707-1_39

Cited by 88 publications

(86 citation statements)

References 19 publications

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“…Figure 4 also indicates a relatively large negative delta for human factors. Previous studies have highlighted that human factors are attributed to over two thirds of aviation accidents and incidents [12,24]. In fact, Figure 1 shows that human factors accounted for 75% of events over the past 10 years for CAT as reported by EASA.…”

Section: Discussionmentioning

confidence: 93%

“…This is due to the removal of an on-board pilot from the aircraft leading to a reduced risk. This is supported by the Office of the Under Secretary of Defence for Acquisition, Technology and Logistics which identified that only 17% of military RPAS mishaps were ascertained as being of a Human Factors origin [12]. However, Tvarynas, Thompson, and Constable [13] oppose this point.…”

Section: Discussionmentioning

confidence: 99%

“…The peak global airline body (International Air Transport Association (IATA)), the United Nations specialized agency (ICAO), airline manufacturers (Boeing and Airbus), as well as regional agencies, such as the European Aviation Safety Agency (EASA) or the US Federal Aviation Administration (FAA), all report safety statistics. This data facilitates reporting of findings such as 70%-80% of accidents being related to human factors [12].…”

Section: Post Accident Analysismentioning

confidence: 92%

“…Clothier and Walker [12] identified a sample of military RPAS accidents and classifications from Tvaryanas, et al [13]. Their work found that of the 221 cases, 60.2% involved human factors [13].…”

Section: Post Accident Analysismentioning

confidence: 99%

“…Their work found that of the 221 cases, 60.2% involved human factors [13]. The goal of their work was to identify risks so they can be mitigated before they eventuate [12].…”

Section: Post Accident Analysismentioning

confidence: 99%

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Exploring Civil Drone Accidents and Incidents to Help Prevent Potential Air Disasters

2016

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A recent alleged "drone" collision with a British Airways Airbus A320 at Heathrow Airport highlighted the need to understand civil Remotely Piloted Aircraft Systems (RPAS) accidents and incidents (events). This understanding will facilitate improvements in safety by ensuring efforts are focused to reduce the greatest risks. One hundred and fifty two RPAS events were analyzed. The data was collected from a 10-year period (2006 to 2015). Results show that, in contrast to commercial air transportation (CAT), RPAS events have a significantly different distribution when categorized by occurrence type, phase of flight, and safety issue. Specifically, it was found that RPAS operations are more likely to experience (1) loss of control in-flight, (2) events during takeoff and in cruise, and (3) equipment problems. It was shown that technology issues, not human factors, are the key contributor in RPAS events. This is a significant finding, as it is contrary to the industry view which has held for the past quarter of a century that human factors are the key contributor (which is still the case for CAT). Regulators should therefore look at technologies and not focus solely on operators.

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Section: Discussionmentioning

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Section: Post Accident Analysismentioning

confidence: 92%

Section: Post Accident Analysismentioning

confidence: 99%

“…Their work found that of the 221 cases, 60.2% involved human factors [13]. The goal of their work was to identify risks so they can be mitigated before they eventuate [12].…”

Section: Post Accident Analysismentioning

confidence: 99%

See 3 more Smart Citations

Exploring Civil Drone Accidents and Incidents to Help Prevent Potential Air Disasters

2016

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Opportunities and Challenges of Unmanned Aircraft Systems for Urban Applications

Lai

Bush

Yang

et al. 2021

Urban Remote Sensing

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Autonomous Aerial Water Sampling

Ore

Elbaum

Burgin³

et al. 2015

Journal of Field Robotics

122

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Obtaining spatially separated, high-frequency water samples from rivers and lakes is critical to enhance our understanding and effective management of fresh water resources. In this paper we present an aerial water sampler and verify the system in field experiments. The aerial water sampler has the potential to vastly increase the speed and range at which scientists obtain water samples while reducing cost and effort. The water sampling system includes: 1) a mechanism to capture three 20 ml samples per mission; 2) sensors and algorithms for safe navigation and altitude approximation over water; and 3) software components that integrate and analyze sensor data, control the vehicle, and drive the sampling mechanism. In this paper we validate the system in the lab, characterize key sensors, and present results of outdoor experiments. We compare water samples from local lakes obtained by our system to samples obtained by traditional sampling techniques. We find that most water properties are consistent between the two techniques. These experiments show that despite the challenges associated with flying precisely over water, it is possible to quickly obtain water samples with an Unmanned Aerial Vehicle (UAV).

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Safety Risk Management of Unmanned Aircraft Systems

Cited by 88 publications

References 19 publications

Exploring Civil Drone Accidents and Incidents to Help Prevent Potential Air Disasters

Exploring Civil Drone Accidents and Incidents to Help Prevent Potential Air Disasters

Opportunities and Challenges of Unmanned Aircraft Systems for Urban Applications

Autonomous Aerial Water Sampling

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