INTELLIGENT SUPERVISION OF AUTONOMOUS HEAVY VEHICLES: APPLICATION TO MARITIME AREA

被引:0
|
作者
Chatti, N. [1 ]
Khalil, W. [1 ]
Gehin, A. L. [1 ]
Ould-Bouamama, B. [1 ]
Merzouki, R. [1 ]
机构
[1] Polytech Lille, LAGIS, CNRS FRE 3303, Ave Paul LANGEVIN, F-59655 Villeneuve Dascq, France
关键词
Intelligent transportation system; maritime logistics; supervision; Bond Graph; self-diagnosis; intelligent and autonomous vehicle; FAULT-DETECTION; SYSTEM;
D O I
暂无
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
There is a strong need to improve the efficiency of existing transport infrastructure of seaport in North West Europe. One of the solutions would be to integrate intelligent transportation systems allowing the transportation of goods in the internal traffic of the seaport. However, the design of intelligent and autonomous vehicles integrates the definition of fault detection and localization algorithms and strategies of control reconfiguration. The ultimate objective of our work is to design a supervision system representing the management of the operating modes and giving the conditions for reconfiguration of an autonomous system, in real time. Then, a co-simulation is done on a platoon of Intelligent and Autonomous Vehicles (IAVs) inside seaport terminal in the framework of the European project InTraDE (Intelligent Transportation for Dynamic Environment).
引用
收藏
页码:33 / 37
页数:5
相关论文
共 50 条
  • [31] Preface to the special section on intelligent autonomous vehicles
    Salichs, MA
    [J]. CONTROL ENGINEERING PRACTICE, 1999, 7 (06) : 727 - 728
  • [32] Autonomous Planning and Control for Intelligent Vehicles in Traffic
    You, Changxi
    Lu, Jianbo
    Filev, Dimitar
    Tsiotras, Panagiotis
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 21 (06) : 2339 - 2349
  • [33] Survey on Testing of Intelligent Systems in Autonomous Vehicles
    Zhu X.-L.
    Wang H.-C.
    You H.-M.
    Zhang W.-H.
    Zhang Y.-Y.
    Liu S.
    Chen J.-J.
    Wang Z.
    Li K.-Q.
    [J]. Ruan Jian Xue Bao/Journal of Software, 2021, 32 (07): : 2056 - 2077
  • [34] Integrated application of network traffic and intelligent driver models in the test laboratory analysis of autonomous vehicles and electric vehicles
    Peter, Tamas
    Szauter, Ferenc
    Rozsas, Zoltan
    Lakatos, Istvan
    [J]. INTERNATIONAL JOURNAL OF HEAVY VEHICLE SYSTEMS, 2020, 27 (1-2) : 227 - 245
  • [35] Application of autonomous underwater vehicles
    Wood, S
    Nulph, A
    Howell, B
    [J]. SEA TECHNOLOGY, 2004, 45 (12) : 10 - 14
  • [36] A stereo camera system for the Autonomous Maritime Navigation (AMN) vehicles
    Zhang, Weihong
    Zhuang, Ping
    Elkins, Les
    Simon, Rick
    Gore, David
    Cogar, Jeff
    Hildebrand, Kevin
    Crawford, Steve
    Fuller, Joe
    [J]. UNMANNED SYSTEMS TECHNOLOGY XI, 2009, 7332
  • [37] The Use of Terrestrial and Maritime Autonomous Vehicles in Nonintrusive Object Inspection
    Mamchur, Dmytro
    Peksa, Janis
    Kolodinskis, Antons
    Zigunovs, Maksims
    [J]. SENSORS, 2022, 22 (20)
  • [38] Intelligent Control & Supervision for Autonomous System Resilience in Uncertain Worlds
    Marshall, Curtis
    Roberts, Blake
    Grenn, Michael
    [J]. 2017 3RD INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS (ICCAR), 2017, : 438 - 443
  • [39] Verification Methodology for Fully Autonomous Heavy Vehicles
    Gustaysson, Joakim
    [J]. 2016 9TH IEEE INTERNATIONAL CONFERENCE ON SOFTWARE TESTING, VERIFICATION AND VALIDATION (ICST), 2016, : 381 - 382
  • [40] Intelligent Autonomy for Collaborative Intervention Missions of Unmanned Maritime Vehicles
    Insaurralde, Carlos C.
    Petillot, Yvan R.
    [J]. 2013 OCEANS - SAN DIEGO, 2013,