DROSERA: A DROne Simulation Environment for Risk Assessment

Raballand, N.; Bertrand, Sylvain; Lala, Stephanie; Levasseur, Baptiste

doi:10.3850/978-981-18-2016-8_236-cd

Cited by 8 publications

(7 citation statements)

References 10 publications

(17 reference statements)

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“…They analyzed drone failure modes and the probability distribution of their impacts on the ground, quantifying the risk of drones crashing into people, property, and ground traffic. Raballand [4] introduced a method to calculate the probability of ground casualties and traffic accidents resulting from drone loss of control. They provided various models for probability calculations and introduced wind condition influence models and time-sensitive models applicable to people and traffic.…”

Section: Related Workmentioning

confidence: 99%

Research on risk map based on UAV safety operation indicators

Wang,

Ye,

et al. 2024

International Conference on Smart Transportation and City Engineering (STCE 2023)

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In the foreseeable future, the further civilian and mass utilization of unmanned aerial vehicles (UAVs) underscores the critical significance of researching UAV operational risks to ensure their safety. Currently, most UAV risk studies rely on traditional risk assessment methods, often evaluating operational risks based on singular or a few indicators. This study takes a comprehensive approach by considering various indicators related to UAV operational safety. It establishes a comprehensive indicator system that addresses aspects such as operational safety, reliability, and public acceptance. The study also provides both quantitative and qualitative risk assessment methods for these indicators. Additionally, the integration of a risk map offers a novel visualization technique for assessing UAV operational risks. This integrated approach aims to provide a secure foundation for the extensive future operation of UAVs in urban low-altitude airspace.

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Section: Related Workmentioning

confidence: 99%

Research on risk map based on UAV safety operation indicators

Wang,

Ye,

et al. 2024

International Conference on Smart Transportation and City Engineering (STCE 2023)

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“…To evaluate the risks, the DROSERA tool [12] is used. It aims at quantifying the risks induced for third parties at ground likely to be overflown by a drone mission.…”

Section: B Risk Assessmentmentioning

confidence: 99%

Handling Uncertainties in Ground Risk Buffer Computation for Risk Assessment and Preparation of UAV Operations

Bertrand¹,

Lala²,

Raballand³

2023

2023 International Conference on Unmanned Aircraft Systems (ICUAS)

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“…Existing work investigated the use of risk maps in case of a crash by taking into account the drone's characteristics, the environment, and the weather [24], [25]. Such visualizations can help operators understand the risks associated with their operations.…”

Section: B Safety Support During Drone Operations Planningmentioning

confidence: 99%

“…For instance, the impact of the wind on safety buffers was very dependent on the drone used and required adequate models that we could not find. Using existing tools providing ground risks according to operational parameters such as Drosera [25] could considerably expand our prototype. Regarding the validity of our data, we acknowledge that a focus group is not a user test.…”

Section: Limitations and Research Perspectivesmentioning

confidence: 99%

Supporting drone mission planning and risk assessment with interactive representations of operational parameters

Rakotonarivo

Drougard

Conversy

et al. 2022

2022 International Conference on Unmanned Aircraft Systems (ICUAS)

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Drone missions in urban areas or at long range offer new opportunities for drone operators but require approval from the authorities due to the potential risks. Obtaining authorization is complex and time-consuming since operators must produce and often iterate on a concept of operation and risk analysis documents to accommodate the authorities' expectations. Our goal is to support the drone mission planning process to make it more efficient so that more and safer operations can be designed and authorized. In this paper, we describe our work designing and assessing interactive representations of operational parameters on maps to enhance thinking and accelerate the process from early concept definition to mission execution. We first collaborated with an operator during a longitudinal study that enabled us to refine and explore our concepts and prototype with real-world use cases. We then collected the feedback from authorities to evaluate the ability of our prototype to match the needs and requirements beyond our first study. Our results indicate that visually representing the concept of operations makes its description more accurate and easier to understand. We also found that exploring the impact of the operational parameters on safety actively supports risk identification and the formulation of adequate mitigation. We believe that our work can inspire the design of future safety support systems and may also contribute to supporting the collaborative process between operators and authorities needed for drone operations in the Specific category.

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DROSERA: A DROne Simulation Environment for Risk Assessment

Cited by 8 publications

References 10 publications

Research on risk map based on UAV safety operation indicators

Research on risk map based on UAV safety operation indicators

Handling Uncertainties in Ground Risk Buffer Computation for Risk Assessment and Preparation of UAV Operations

Supporting drone mission planning and risk assessment with interactive representations of operational parameters

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