Mobility Compass

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

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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

7.687 Topics available

To Map

871 Locations available

330.008 PEOPLE
330.008 People People

330.008 People

Show results for 330.008 people that are selected by your search filters.

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PeopleLocationsStatistics
Arnone, Maurizio
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  • 2022
Weimer, JulianCologne
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  • 2022
Yushau, Ilyas
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Rupi, Federico
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Bruneel, Herwig
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Percoco, Marco
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Gulati, Dhiraj
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Gubser, Ariane
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Friedrich, Horst E.Stuttgart
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Heldt, Benjamin
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Mélange, Willem
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Walraevens, Joris R R
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Ye, Yun-Guang
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MANNINO, CARLO
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Zhang, Yinggui
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Felux, Michael
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Russwinkel, Nele
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Unterhuber, PaulChamps-sur-Marne
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Lamorgese, Leonardo Cameron
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Veraldi, Valerio
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Endemann, Peter
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Plogmann, Justin
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Pensa, Stefano
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Schindewolf, Marc
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Ulrich, Christian
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Bayart, Mireille

  • ID
  • Google
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University of Lille Nord de France

in Cooperation with on an Cooperation-Score of 37%

Topics

  • emergency
  • assessment
  • road
  • brake
  • coding system
  • crash
  • computer science
  • automatic controller
  • automatic control
  • engineering
  • highway safety
  • prototype
  • intelligent transportation system
  • reliability
  • brake lamp
  • tracked vehicle
  • crawler tractor
  • sensor
  • electric vehicle
  • actuating system
  • actuator
  • autonomous vehicle
  • modeling
  • railway train
  • estimating
  • wheel
  • steering
  • four wheel steering
  • automobile
  • camera
  • car following
  • license plate
  • show 2 more
  • show less

Publications

  • 2021The different theoretical methods of the MFC approach for a MIMO systemcitations
  • 2010Sensor and actuator fault detection and isolation using two model based approaches: Application to an autonomous electric vehicle8citations
  • 2009Sensor fault detection by sliding mode observer applied to an autonomous vehicle7citations
  • 2009Nonlinear parity space applied to an electric autonomous vehicle6citations
  • 2009Modelling and control of a train of autonomous electric vehiclescitations
  • 2008Estimation of contact forces of a four-wheel steering electric vehicle by differential sliding mode observer1citations
  • 2007Fault detection of actuator faults for electric vehicle12citations
  • 2007Reconfiguration on electric vehicle after major actuator faults1citations
  • 2006Fault tolerant control on an electric vehicle20citations
  • 2006Reconfiguration on electric vehicle after major actuator faults2citations
  • 2004License plate tracking for car following with a single cameracitations

Places of action

Chart of shared publication
Anthyme, Durlin
1 / 1 shared
Zine-eddine, Meguetta
1 / 1 shared
Mohamed Ilyas, Rahal
1 / 1 shared
Bouibed, K.
5 / 5 shared
Aitouche, A.
9 / 17 shared
Rabhi, Abdelhamid
1 / 19 shared
Dumont, P. E.
4 / 4 shared
Merzouki, R.
3 / 4 shared
Zayed, M.
1 / 2 shared
Boonaert, J.
1 / 4 shared
Chart of publication period
2021
2010
2009
2008
2007
2006
2004

Co-Authors (by relevance)

  • Anthyme, Durlin
  • Zine-eddine, Meguetta
  • Mohamed Ilyas, Rahal
  • Bouibed, K.
  • Aitouche, A.
  • Rabhi, Abdelhamid
  • Dumont, P. E.
  • Merzouki, R.
  • Zayed, M.
  • Boonaert, J.