Hazardous flight region prediction for a small UAV operated in an urban area using a deep neural network

Jeong, Shinkyu; You, Kangkuk; Seok, Donghoon

doi:10.1016/j.ast.2021.107060

Cited by 15 publications

(2 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where 𝑐 and 𝑘 control the shape and scale of the distribution. Wind data for very low level operations can also be quantified in higher resolution through computational fluid dynamics analysis as in [27]. After obtaining the wind data, the following approach can be followed for quantifying the probability of communication link interruptions.…”

Section: 𝑃(𝑥|𝑐 𝑘)mentioning

confidence: 99%

“…The study in [25] focuses on the extension of the third party risks with individual and societal risk indicators in UAS operations. There are other studies that focuses on prediction of risky flight regions due to weather conditions, doing weather hazard risk modeling [26], and predicting the wind behaviour for urban areas [27]. In [28], a risk map is prepared by taking parameters such as casualties, property damage, unmanned aerial vehicle (UAV) survival into account alongside wind and link coverage information and reachability analysis, to be used in parachute landing in case of loss of propulsion.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comprehensive Risk Assessment and Utilization for Contingency Management of Future AAM System

Altun

Tsourdos

et al. 2023

AIAA AVIATION 2023 Forum

View full text Add to dashboard Cite

This paper presents a risk assessment methodology to be used in the future Advanced Air Mobility (AAM) systems especially for supporting the planning phase and onboard contingency management solutions. Two types of dynamic risk maps are introduced as Contingency Risk Map that includes the probability of observing a contingency onboard and Risk Severity Map which covers various sources of data such as population density, a dense air traffic, obstacles, terrain, no-fly zones, and so forth. Contingency Risk Map is to quantify the probability of having a contingency and decide if the quantified probability is above the threshold. If the contingency risk probability is at unacceptable limit, Risk Severity Map assists to select a pre-defined secure emergency landing zone or non-secure emergency landing zone defined onboard. The developed risk assessment structure is tested through two different use cases. First one is about defining locations as vertiport alternatives based on the generated map, in case of a contingency ending up with an AAM vehicle to do emergency landing. Second case considers minimum risk onboard rerouting of an AAM vehicle to a secure/non-secure emergency landing zone under contingency management process. The main objective of this work is to build a system-wide contingency management concept for the AAM system by supporting with UTM services such as risk analysis assistance.

show abstract

Section: 𝑃(𝑥|𝑐 𝑘)mentioning

confidence: 99%