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.

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8.032 Topics available

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509.604 PEOPLE
509.604 People People
509.604 People

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PeopleLocationsStatistics
Mouftah, Hussein T.
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Dugay, Fabrice
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Clement, Benoit

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2024Path Planning for Unmanned Aerial Vehicles in Dynamic Environments: A Novel Approach Using Improved A * and Grey Wolf Optimizer6citations
  • 2024LOTUS: Learning from Operational Teaming with Unmanned Systems3citations
  • 2024Path Planning for Unmanned Aerial Vehicles in Dynamic Environments: A Novel Approach Using Improved A* and Grey Wolf Optimizer6citations
  • 2023Hybrid Navigation Acceptability and Safety3citations
  • 2015$H_infty$ control synthesis under structural constraints based on Global Optimizationcitations
  • 2013A Marine Robotics point of view for Coastal Oceanographycitations

Places of action

Chart of shared publication
Nasser, Abbass
2 / 4 shared
Zahwe, Oussama
2 / 5 shared
Ahmad, Ali, Haidar
1 / 1 shared
Cunningham, Andrew
1 / 2 shared
Sammut, Karl
2 / 5 shared
Lechene, Helene
1 / 2 shared
Coppin, Gilles
1 / 10 shared
Buche, Cédric
1 / 3 shared
Santos, Paulo
2 / 4 shared
Ahmad, Ali Haidar
1 / 2 shared
Dayoub, Feras
1 / 7 shared
Dubromel, Marie
1 / 3 shared
Oppert, Michelle Leanne
1 / 3 shared
Monnet, Dominique
1 / 3 shared
Ninin, Jordan
1 / 3 shared
Chart of publication period
2024
2023
2015
2013

Co-Authors (by relevance)

  • Nasser, Abbass
  • Zahwe, Oussama
  • Ahmad, Ali, Haidar
  • Cunningham, Andrew
  • Sammut, Karl
  • Lechene, Helene
  • Coppin, Gilles
  • Buche, Cédric
  • Santos, Paulo
  • Ahmad, Ali Haidar
  • Dayoub, Feras
  • Dubromel, Marie
  • Oppert, Michelle Leanne
  • Monnet, Dominique
  • Ninin, Jordan
OrganizationsLocationPeople

conferencepaper

LOTUS: Learning from Operational Teaming with Unmanned Systems

  • Cunningham, Andrew
  • Sammut, Karl
  • Lechene, Helene
  • Coppin, Gilles
  • Buche, Cédric
  • Clement, Benoit
  • Santos, Paulo

Abstract

International audience ; The LOTUS project aims at improving maritime surveillance. In this context, this position paper presents ongoingcontributions, including novel machine learning algorithms for multi-agent systems to be applied to groups of underwater drones involved in surveillance missions. It emphasises incorporating human-machine teaming to bolster decision-making in maritime scenarios. The expected outcomes of this project comprise the robust control of groups of autonomous vehicles, adaptable to environmental changes, as well as an effective reporting method. Mission summaries will be delivered to human operators by way of narratives about the relevant events detected thanks to drones. The integration of this narrative construction poweredby machine learning will enhance the overall effectiveness of the team, constituting a significant breakthrough.

Topics

  • machine learning
  • machinery
  • learning
  • human being
  • algorithm
  • computer science
  • environmental science
  • intelligence
  • drone
  • surveillance
  • autonomous vehicle
  • decision making
  • automatic control
  • automatic controller
  • agent-based modeling
  • multi-agent system
  • environmental engineering
  • bolster
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