Mobility Compass

Discover mobility and transportation research. Find experts, partners, networks.

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

The Mobility Compass is an open tool for improving networking and interdisciplinary exchange within mobility and transport research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

To Graph

8.284 Topics available

To Map

890 Locations available

479.575 PEOPLE
479.575 People People

479.575 People

Show results for 479.575 people that are selected by your search filters.

←

Page 1 of 19183

→
PeopleLocationsStatistics
Ziakopoulos, ApostolosAthens
  • 17
  • 87
  • 227
  • 2023
Vigliani, AlessandroTurin
  • 16
  • 43
  • 198
  • 2023
Catani, JacopoRome
  • 2
  • 7
  • 10
  • 2023
Statheros, ThomasStevenage
  • 4
  • 10
  • 4
  • 2023
Utriainen, RoniTampere
  • 16
  • 37
  • 428
  • 2023
Guglieri, GiorgioTurin
  • 42
  • 113
  • 100
  • 2023
Martínez Sánchez, Joaquín
  • 5
  • 17
  • 154
  • 2023
Tobolar, Jakub
  • 11
  • 37
  • 19
  • 2023
Volodarets, M.
  • 18
  • 150
  • 76
  • 2023
Piwowar, Piotr
  • 2
  • 11
  • 12
  • 2023
Tennoy, AudOslo
  • 14
  • 30
  • 186
  • 2023
Matos, Ana Rita
  • 1
  • 4
  • 1
  • 2023
Cicevic, Svetlana
  • 16
  • 58
  • 56
  • 2023
Sommer, CarstenKassel
  • 125
  • 92
  • 72
  • 2023
Liu, Meiqi
  • 5
  • 16
  • 48
  • 2023
Pirdavani, AliHasselt
  • 66
  • 288
  • 715
  • 2023
Niklaß, Malte
  • 40
  • 239
  • 182
  • 2023
Lima, PedroBraga
  • 3
  • 13
  • 12
  • 2023
Turunen, Anu W.
  • 6
  • 57
  • 423
  • 2023
Antunes, Carlos Henggeler
  • 25
  • 106
  • 924
  • 2023
Krasnov, Oleg A.
  • 10
  • 34
  • 44
  • 2023
Lopes, Joao P.
  • 1
  • 6
  • 0
  • 2023
Turan, Osman
  • 44
  • 148
  • 482
  • 2023
Lučanin, VojkanBelgrade
  • 14
  • 37
  • 43
  • 2023
Tanaskovic, Jovan
  • 8
  • 15
  • 0
  • 2023

Felux, Michael

  • Google
  • 35
  • 139
  • 100

in Cooperation with on an Cooperation-Score of 37%

Topics

  • air traffic
  • radar
  • air traffic control
  • aircraft
  • data
  • crowd
  • sea
  • ocean
  • flight
  • surveillance
  • region
  • engineering
  • civil aviation
  • radio equipment
  • navigational satellite
  • flight crew
  • flight plan
  • radio frequency
  • radio frequency interference
  • aircraft pilotage
  • estimate
  • safety
  • altitude
  • profit
  • alertness
  • airspace
  • drone
  • assessment
  • airport
  • positioning
  • position fixing
  • protection
  • cat
  • Ground Based Augmentation System
  • vision
  • filter
  • rotor
  • flight test
  • re-procurement
  • transport aircraft
  • test vehicle
  • waiting time
  • air traffic control facility
  • multipath transmission
  • landing
  • monitoring
  • supervisor
  • alarm system
  • polar region
  • ionosphere
  • supporting
  • data collection
  • attention
  • behavior
  • definition
  • male
  • electromagnetic spectrum
  • instrumentation
  • avionics
  • aviation
  • interference
  • correlation analysis
  • downtime
  • recording instrument
  • picture
  • prevention
  • terrain
  • warning system
  • airline
  • cockpit
  • cockpit crew
  • control device
  • sensor
  • AIDS
  • satellite navigation system
  • dispatcher
  • air traffic controller
  • broadcasting
  • midair crash
  • radio navigation
  • experiment
  • security
  • instrument landing system
  • simulation
  • antenna
  • international airport
  • workload
  • algorithm
  • estimating
  • synthetic
  • communication system
  • machinery
  • learning
  • machine learning
  • employed
  • face
  • modernization
  • wide area network
  • procurement
  • coding system
  • expected value
  • airframe
  • design standard
  • implementation
  • committee
  • prototype
  • civil aircraft
  • modeling
  • automatic pilot
  • planning
  • train consist
  • architecture
  • standardisation
  • geometry
  • motivation
  • recommendation
  • inflation
  • normal distribution
  • system availability
  • noise
  • choke
  • design
  • airport runway
  • reflection
  • bubble
  • Statistic
  • validation
  • electron
  • airworthiness
  • minimisation
  • wind
  • runway overrun
  • deviation
  • certification
  • airport capacity
  • trajectory
  • specification
  • weather condition
  • measuring instrument
  • visibility
  • test bed
  • screening
  • forecasting
  • infrastructure
  • accumulator
  • distress
  • autumn
  • uncertainty
  • base line
  • performance evaluation
  • standard deviation
  • hinge
  • accelerometer
  • inertial navigation system
  • amphetamine
  • show 125 more
  • show less

Publications

  • 2023Analysis of GNSS disruptions in European airspacecitations
  • 2022GNSS Jamming and Its Effect on Air Traffic in Eastern Europecitations
  • 2022GBAS use cases beyond what was envisioned – drone navigationcitations
  • 2022Flight testing GBAS for UAV operationscitations
  • 2022Airborne Ionospheric Gradient Monitoring for Dual-Frequency GBAScitations
  • 2022A standardizeable framework enabling DME/DME to support RNPcitations
  • 2022Impact of GNSS-band radio interference on operational avionicscitations
  • 2022Identification and operational impact analysis of GNSS RFI based on flight crew reports and ADS-B datacitations
  • 2022Impact of GNSS outage on mid-air collisioncitations
  • 2021Flight trial demonstration of secure GBAS via the L-band digital aeronautical communications system (LDACS)11citations
  • 2021Final results on airborne multipath models for dualconstellation dual-frequency aviation applicationscitations
  • 2021Impact of RFI on GNSS and avionics : a view from the cockpit1citations
  • 2021Network-based ionospheric gradient monitoring to support GBAS2citations
  • 2021Flight Trial Demonstration of Secure GBAS via the L-band Digital Aeronautical Communication System (LDACS)11citations
  • 2020Combined Multilateration with Machine Learning for Enhanced Aircraft Localization3citations
  • 2020Network-Based Ionospheric Gradient Monitoring to Support GBAScitations
  • 2019Towards Airborne Multipath Models for Dual Constellation and Dual Frequency GNSS2citations
  • 2019Initial results for dual constellation dual-frequency multipath modelscitations
  • 2018Total System Performance of GBAS-based Automatic Landings ; Leistungsfähigkeit des Gesamtsystems GBAS-basierter Automatischer Landungencitations
  • 2018Transmitting GBAS messages via LDACScitations
  • 2018Total System Performance of GBAS-based Automatic Landingscitations
  • 2017Ionospheric Gradient Threat Mitigation in Future Dual Frequency GBAS9citations
  • 2017Future Dual Frequency Multi Constellation GBAScitations
  • 2017Using a Wide Area Receiver Network to Support GBAS Ionospheric Monitoringcitations
  • 2017Future GBAS Processing - Do we need an ionosphere-free mode?citations
  • 2016Multi-constellation GBAS: how to benefit from a second constellationcitations
  • 2015GBAS Ground Monitoring Requirements from an Airworthiness Perspective4citations
  • 2015Total System Performance in GBAS-based Landingscitations
  • 2013GBAS Approach Guidance Performance – A comparison to ILScitations
  • 2012Approach service type D evaluation of the DLR GBAS testbed28citations
  • 2012Flight Testing the GAST D Solution at DLR's GBAS Test Bedcitations
  • 2011Approach service type D evaluation of the DLR GBAS testbed29citations
  • 2011Evaluation of GBAS Flight Tests with respect to GAST-D Requirementscitations
  • 2011GAST-D Monitoring Results from Post-processed Flight Trial Data - Performance Evaluation of DLR´s GBAS Testbedcitations
  • 2009A Robust and Effective GNSS/INS Integration Optimizing Cost and Effortcitations

Places of action

Chart of shared publication
Figuet, Benoit
4 / 7 shared
Waltert, Manuel
3 / 5 shared
Olive, Xavier
2 / 39 shared
Strohmeier, Martin
1 / 38 shared
Fol, Patric
2 / 2 shared
Jäger, Michael
2 / 4 shared
Schnüriger, Philipp
2 / 2 shared
Sarperi, Luciano
2 / 2 shared
Jochems, Sophie
2 / 2 shared
Steiner, Patrick
1 / 1 shared
Fischer, Valentin
1 / 1 shared
Cacciopoli, Natali
1 / 1 shared
Circiu, Mihaela-simona
9 / 14 shared
Gerbeth, Daniel
9 / 16 shared
Caamano, Maria
7 / 11 shared
Berz, Gerhard
1 / 4 shared
Dehaynain, Christophe
1 / 1 shared
Vitan, Valeriu
1 / 2 shared
Osechas, Okuary
3 / 11 shared
Scaramuzza, Maurizio
1 / 2 shared
Zampieri, Gianluca
1 / 2 shared
Weaver, Brandon
1 / 1 shared
Fohlmeister, Friederike
5 / 6 shared
Dautermann, Thomas
8 / 28 shared
Monstein, Raphael
2 / 5 shared
Graupl, Thomas
3 / 57 shared
Mielke, Daniel M.
2 / 10 shared
Bellido-manganell, Miguel A.
1 / 4 shared
Heirich, Oliver
2 / 12 shared
Maurer, Nils
3 / 33 shared
Schalk, Lukas M.
1 / 1 shared
Becker, Dennis
2 / 9 shared
Filip-dhaubhadel, Alexandra
2 / 4 shared
Schneckenburger, Nicolas
2 / 16 shared
Schnell, Michael
2 / 32 shared
Gulie, Ioana
2 / 2 shared
Rippl, Markus
4 / 9 shared
Lazzerini, Rémy
1 / 1 shared
Meurer, Michael
1 / 26 shared
Tranchet, Francois
1 / 1 shared
Caizzone, Stefano
3 / 9 shared
Bouniol, Pierre
1 / 1 shared
Griggs, Joseph
1 / 1 shared
Enneking, Christoph
3 / 4 shared
Sgammini, Matteo
1 / 4 shared
Hagemann, Florent
1 / 1 shared
Rüegg, David
1 / 1 shared
Gonzalez-casado, Guillermo
2 / 2 shared
Juan, Jose Miguel
2 / 2 shared
Sanz, Jaume
2 / 2 shared
Schalk, Lukas Marcel
1 / 6 shared
Bellido-manganell, Miguel Angel
1 / 7 shared
Florent, Hagemann
1 / 1 shared
Pierre, Bouniol
1 / 1 shared
Matteo, Sgammini
1 / 1 shared
David, Rueegg
1 / 1 shared
Remy, Lazzerini
1 / 1 shared
Stanisak, Mirko
1 / 3 shared
Lee, Jiyun
3 / 3 shared
Holzapfel, Florian
3 / 80 shared
Becker, Hayung
1 / 3 shared
Grosch, Anja
3 / 5 shared
Belabbas, Boubeker
1 / 11 shared
Anja, Grosch
1 / 1 shared
Boubeker, Belabbas
1 / 2 shared
Chart of publication period
2023
2022
2021
2020
2019
2018
2017
2016
2015
2013
2012
2011
2009

Co-Authors (by relevance)

  • Figuet, Benoit
  • Waltert, Manuel
  • Olive, Xavier
  • Strohmeier, Martin
  • Fol, Patric
  • Jäger, Michael
  • Schnüriger, Philipp
  • Sarperi, Luciano
  • Jochems, Sophie
  • Steiner, Patrick
  • Fischer, Valentin
  • Cacciopoli, Natali
  • Circiu, Mihaela-simona
  • Gerbeth, Daniel
  • Caamano, Maria
  • Berz, Gerhard
  • Dehaynain, Christophe
  • Vitan, Valeriu
  • Osechas, Okuary
  • Scaramuzza, Maurizio
  • Zampieri, Gianluca
  • Weaver, Brandon
  • Fohlmeister, Friederike
  • Dautermann, Thomas
  • Monstein, Raphael
  • Graupl, Thomas
  • Mielke, Daniel M.
  • Bellido-manganell, Miguel A.
  • Heirich, Oliver
  • Maurer, Nils
  • Schalk, Lukas M.
  • Becker, Dennis
  • Filip-dhaubhadel, Alexandra
  • Schneckenburger, Nicolas
  • Schnell, Michael
  • Gulie, Ioana
  • Rippl, Markus
  • Lazzerini, Rémy
  • Meurer, Michael
  • Tranchet, Francois
  • Caizzone, Stefano
  • Bouniol, Pierre
  • Griggs, Joseph
  • Enneking, Christoph
  • Sgammini, Matteo
  • Hagemann, Florent
  • Rüegg, David
  • Gonzalez-casado, Guillermo
  • Juan, Jose Miguel
  • Sanz, Jaume
  • Schalk, Lukas Marcel
  • Bellido-manganell, Miguel Angel
  • Florent, Hagemann
  • Pierre, Bouniol
  • Matteo, Sgammini
  • David, Rueegg
  • Remy, Lazzerini
  • Stanisak, Mirko
  • Lee, Jiyun
  • Holzapfel, Florian
  • Becker, Hayung
  • Grosch, Anja
  • Belabbas, Boubeker
  • Anja, Grosch
  • Boubeker, Belabbas

conferencepaper

Network-Based Ionospheric Gradient Monitoring to Support GBAS

  • Gonzalez-casado, Guillermo
  • Juan, Jose Miguel
  • Sanz, Jaume
  • Gerbeth, Daniel
  • Caamano, Maria
  • Felux, Michael
Abstract

Ionospheric anomalies, like large ionospheric gradients, might produce a difference between the ionospheric error experienced by the Ground Based Augmentation System (GBAS) reference station and the aircraft on approach. This ionospheric delay difference could lead to hazardous position errors if undetected. For that reason, the GBAS Approach Service Types (GAST) C and D provide solutions against this threat, but the methods employed still face challenges by limiting the availability in certain cases, especially in regions with severe ionospheric conditions. This issue is caused by the use of very conservative ionospheric threat models derived based on the worst-ever-experienced ionospheric gradients in the relevant region. However, these worst-case gradients occur very rarely. Therefore, this paper proposes a methodology capable of detecting ionospheric gradients in real-time and estimating their parameters in near real-time by using a wide area network of dual-frequency and multi-constellation GNSS monitoring stations. Hence, the GBAS stations could use this information to update the threat model currently applied in their algorithms, which would result in an improvement of the GBAS availability in regions where it is degraded. The detection and estimation algorithm is initially theoretically explained. Then, the performance of this algorithm is evaluated with simulated gradients and with a real gradient, utilizing for both the real measurements recorded by a reference network in Alaska. The synthetic gradients are simulated over the nominal real measurements from this network and all the gradient parameters are modified within their ranges in the already existing threat models. In this way, we assess the performance of our algorithm by comparing the differences between the known simulated gradient parameters and the parameters estimated by our algorithm. Additionally, we also evaluate our algorithm with one real ionospheric gradient measured by the same network in Alaska to study the differences between using simulated gradients and real gradients. Results with both simulated gradients and the real gradient show the potential of our methodology to support GBAS stations by detecting and estimating the ionospheric gradients instead of using worst case models all the time.

Topics
  • aircraft
  • algorithm
  • estimating
  • monitoring
  • employed
  • region
  • synthetic
  • face
  • modernization
  • Ground Based Augmentation System
  • wide area network

Search in FID move catalog