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Artificial Intelligence and Collaborative Robot to Improve Airport Operations

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Online Engineering & Internet of Things

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 22))

Abstract

Since air traffic is increasing, airport operations have to be more efficient and obviously still stay safe. To do so, it is important to find innovative solutions to improve those operations. Two projects are presented in this paper. The first one is an intelligent video surveillance to monitor airport operations. The second one is a collaborative mobile robot to improve maintenance time and traceability of maintenance operations. Those two solutions are the first steps in direction of the airport of the future. Management of the operations, autonomous vehicles, non-destructive testing and human-machine collaborations will evolve and change the airport activities.

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References

  1. Borg, M., Thirde, D., Ferryman, J., Fusier, F., Brémond, F., Thonnat, M.: An integrated vision system for aircraft activity monitoring. In: Proceedings of the 6th IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS) (2005)

    Google Scholar 

  2. Ferryman, J., Borg, M., Thirde, D., Fusier, F., Valentin, V., Bremond, F., Thonnat, M., Aguilera, J., Kampel, M.: Automated scene understanding for airport aprons. In: Advances in Artificial Intelligence, AI 2005, vol. 3809, pp. 593–603 (2005)

    Google Scholar 

  3. Borg, M., Thirde, D., Ferryman, J., Fusier, F., Valentin, V., Brémond, F., Thonnat, M.: A real-time scene understanding system for airport apron monitoring. In: Proceedings of IEEE International Conference on Computer Vision Systems (ICVS) (2006)

    Google Scholar 

  4. Chau, D.P., Bremond, F., Thonnat, M., Corvee, E.: Robust mobile object tracking based on multiple feature similarity and trajectory filtering. In: Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP) (2011)

    Google Scholar 

  5. Patino, L., Brémond, F., Thonnat, M.: Activity discovery from video employing soft computing relations. In: Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN) (2010)

    Google Scholar 

  6. Patino, L., Brémond, F., Evans, M., Shahrokni, A., Ferryman, J.: Video activity extraction and reporting with incremental unsupervised learning. In: Proceedings of the 7th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS) (2010)

    Google Scholar 

  7. Greenall, J.P.: High-level activity learning and recognition in structured environments. Ph.D. thesis, University of Leeds (2012)

    Google Scholar 

  8. Donadio, F., Frejaville, J., Larnier, S., Vetault, S.: Human-robot collaboration to perform aircraft inspection in working environment. In: Proceedings of the 5th International Conference on Machine Control and Guidance (MCG) (2016)

    Google Scholar 

  9. Frejaville, J., Larnier, S., Vetault, S.: Localisation à partir de données laser d’un robot naviguant autour d’un avion. In: Proceedings of the Reconnaissance des Formes et l’Intelligence Artificielle (RFIA) Congress (2016)

    Google Scholar 

  10. Jovančević, I., Viana, I., Orteu, J., Sentenac, T., Larnier, S.: Matching CAD model and image features for robot navigation and inspection of an aircraft. In: Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM), pp. 359–366 (2016)

    Google Scholar 

  11. Villemot, T., Larnier, S., Vetault, S.: Détection d’amers visuels pour la navigation autour d’un avion et son inspection. In: Proceedings of the Reconnaissance des Formes et l’Intelligence Artificielle (RFIA) Congress (2016)

    Google Scholar 

  12. Futterlieb, M., Cadenat, V., Sentenac, T.: A navigational framework combining visual servoing and spiral obstacle avoidance techniques. In: Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO), pp. 57–64 (2014)

    Google Scholar 

  13. Jovančević, I., Arafat, A., Orteu, J., Sentenac, T.: Airplane tire inspection by image processing techniques. In: Proceedings of the 5th Mediterranean Conference on Embedded Computing (MECO) (2016)

    Google Scholar 

  14. Jovančević, I., Larnier, S., Orteu, J., Sentenac T.: Automated exterior inspection of an aircraft with a pan-tilt-zoom camera mounted on a mobile robot. J. Electron. Imag. 24(6) (2015)

    Google Scholar 

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Acknowledgments

The partners (Inria of Sophia Antipolis, University of Hamburg, University of Leeds, University of Reading, Toulouse-Blagnac Airport) of the CO-FRIEND project (FP7-ICT-214975) are gratefully acknowledged. AIR-COBOT (http://aircobot.akka.eu) is a Fonds Unique Interministériel (FUI) project from the competitiveness cluster of Aerospace Valley. We thank the other members of Air-Cobot team from AKKA Research and the partners of the project (Airbus Group, LAAS-CNRS, Armines, 2MoRO Solutions, M3 Systems and Stéréla) for their help and support. The partners thank Toulouse-Blagnac Airport, Airbus and Air France Industries for giving us access to video-surveillance cameras or aircrafts to do acquisitions and validations; and their staffs which help us during those days.

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Correspondence to Stanislas Larnier .

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Donadio, F., Frejaville, J., Larnier, S., Vetault, S. (2018). Artificial Intelligence and Collaborative Robot to Improve Airport Operations. In: Auer, M., Zutin, D. (eds) Online Engineering & Internet of Things. Lecture Notes in Networks and Systems, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-64352-6_91

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  • DOI: https://doi.org/10.1007/978-3-319-64352-6_91

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64351-9

  • Online ISBN: 978-3-319-64352-6

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