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Investigating Artificial Neural Networks for Detecting Aircraft Wake Vortices in Lidar Measurements

Wartha, Niklas Louis and Stephan, Anton and Rotshteyn, Grigory and Holzäpfel, Frank (2022) Investigating Artificial Neural Networks for Detecting Aircraft Wake Vortices in Lidar Measurements. ODAS 2022 - 22nd Onera-DLR Aerospace Symposium, 2022-06-01 - 2022-06-03, Hamburg.

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Abstract

Convolutional Neural Networks (CNNs) are employed to identify wake vortices via their two-dimensional position and circulation strength in Light Detection and Ranging (lidar) measurement scans. A campaign at Vienna International Airport delivered data that so far has only been processed with a traditional lidar processing algorithm, namely the Radial Velocity (RV) method. Its not fully automated nature led to only a fraction of scans from the overall data set to be evaluated. Here we present ways to use CNNs for this task. A scoring algorithm engineered for verifying CNN detections has been implemented. In particular green detections (those marked as correct CNN detections by the scoring algorithm) can confidently be used for further analysis about the wake vortex encounter hazard. With this approach we end up with a significantly more processed and characterized lidar data compared to that so far delivered by the RV method.

Item URL in elib:https://elib.dlr.de/186841/
Document Type:Conference or Workshop Item (Speech)
Title:Investigating Artificial Neural Networks for Detecting Aircraft Wake Vortices in Lidar Measurements
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Wartha, Niklas LouisDLR, IPAhttps://orcid.org/0000-0002-9672-2360UNSPECIFIED
Stephan, AntonDLR, IPAUNSPECIFIEDUNSPECIFIED
Rotshteyn, GrigoryDLR, IPAUNSPECIFIEDUNSPECIFIED
Holzäpfel, FrankDLR, IPAhttps://orcid.org/0000-0003-3182-1832UNSPECIFIED
Date:June 2022
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-19
Status:Published
Keywords:Wake Vortex, Artificial Neural Networks, Lidar
Event Title:ODAS 2022 - 22nd Onera-DLR Aerospace Symposium
Event Location:Hamburg
Event Type:international Conference
Event Start Date:1 June 2022
Event End Date:3 June 2022
Organizer:ONERA & DLR
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Air Transportation and Impact
DLR - Research area:Aeronautics
DLR - Program:L AI - Air Transportation and Impact
DLR - Research theme (Project):L - Climate, Weather and Environment
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Transport Meteorology
Deposited By: Wartha, Niklas Louis
Deposited On:13 Jun 2022 13:22
Last Modified:24 Apr 2024 20:48

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