Surveillance Planning with Safe Emergency Landing Guarantee for Fixed-wing Aircraft
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00342715" target="_blank" >RIV/68407700:21230/20:00342715 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.robot.2020.103644" target="_blank" >https://doi.org/10.1016/j.robot.2020.103644</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.robot.2020.103644" target="_blank" >10.1016/j.robot.2020.103644</a>
Alternative languages
Result language
angličtina
Original language name
Surveillance Planning with Safe Emergency Landing Guarantee for Fixed-wing Aircraft
Original language description
In this paper, we study Emergency Landing Aware Surveillance Planning (ELASP) to determine a cost-efficient trajectory to visit a given set of target locations such that a safe emergency landing is possible at any point of the multi-goal trajectory. The problem is motivated to guarantee a safe mission plan in a case of loss of thrust for which it is desirable to have a safe gliding trajectory to a nearby airport. The problem combines computational challenges of the combinatorial multi-goal planning with demanding motion planning to determine safe landing trajectories for the curvature-constrained aerial vehicle. The crucial property of safe landing is a minimum safe altitude of the vehicle that can be found by trajectory planning to nearby airports using sampling-based motion planning such as RRT*. A trajectory is considered safe if the vehicle is at least at the minimum safe altitude at any point of the trajectory. Thus, a huge number of samples have to be evaluated to guarantee the safety of the trajectory, and an evaluation of all possible multi-goal trajectories is quickly computationally intractable. Therefore, we propose to utilize a roadmap of safe altitudes combined with the estimation of the trajectory lengths to evaluate only the most promising candidate trajectories. Based on the reported results, the proposed approach significantly reduces the computational burden and enables a solution of ELASP instances with tens of locations in units of minutes using standard single-core computational resources.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Robotics and Autonomous Systems
ISSN
0921-8890
e-ISSN
1872-793X
Volume of the periodical
133
Issue of the periodical within the volume
November
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
13
Pages from-to
1-13
UT code for WoS article
000579026500011
EID of the result in the Scopus database
2-s2.0-85091332796