Global path planning in 4D environments using topological mapping

被引:0
|
作者
Semenov, V. A. [1 ]
Kazakov, K. A. [1 ]
Zolotov, V. A. [1 ]
机构
[1] Inst Syst Programming RAS, Moscow, Russia
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Global path planning is a challenging problem raised in many fields of research. It is of particular interest to construction planning community facing the requirements of trustworthiness and feasibility of the project schedules. Correct construction schedules must exclude conflicting situations at project sites, thereby improving project productivity and reducing risks and waste. Some conflicts can be foreseen and avoided using emerging 4D modeling and planning technologies. Modern 4D modeling systems enable to identify and report simple clashes among construction elements, equipment units, workspaces occupying the same place at the same time. However, they are not capable of revealing more sophisticated conflicts caused by lack of collision-free paths to deliver the elements to final destination locations. Global path planning methods look promising to assure the existence of collision-free paths for displaced elements. In particular, topological mapping methods have proved to be well suited for single path planning requests in static 3D scenes. However, they could not be directly applied to complex pseudo-dynamic scenes originating from 4D modeling and planning applications. In this paper a new efficient method intended for global path planning in dynamic environments is presented. It generalizes existing mapping techniques by means of incremental and concordant updates of all the deployed metric and topological structures as the explored environment is being evolved under events appearing in discrete time moments. The obtained results, both theoretical and experimental, showed that the proposed method gives a significant performance gain for multiple path planning requests in complex pseudo-dynamic environments and can be successfully applied for validation of construction project schedules against path conflicts.
引用
收藏
页码:263 / 269
页数:7
相关论文
共 50 条
  • [41] UAV Path Planning in 3D Complex Environments Using Genetic Algorithms
    Leng, Shanshan
    Sun, Hui
    [J]. PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 1324 - 1330
  • [42] Path planning in complex 3D environments using a probabilistic roadmap method
    Yan F.
    Liu Y.-S.
    Xiao J.-Z.
    [J]. International Journal of Automation and Computing, 2013, 10 (06) : 525 - 533
  • [43] 4D CT scanning: Imaging and planning
    Keall, P.
    Langner, U.
    Suh, Y.
    [J]. MEDICAL PHYSICS, 2007, 34 (06) : 2581 - 2581
  • [44] 4D radiotherapy: imaging and treatment planning
    Rietzel, E.
    Chen, G. T. Y.
    [J]. STRAHLENTHERAPIE UND ONKOLOGIE, 2006, 182 : 137 - 138
  • [45] Chronographical spatiotemporal dynamic 4D planning
    Mazars, Thibault
    Francis, Adel
    [J]. AUTOMATION IN CONSTRUCTION, 2020, 112
  • [46] 4D BIM for Environmental Planning and Management
    Jupp, Julie
    [J]. INTERNATIONAL HIGH-PERFORMANCE BUILT ENVIRONMENT CONFERENCE - A SUSTAINABLE BUILT ENVIRONMENT CONFERENCE 2016 SERIES (SBE16), IHBE 2016, 2017, 180 : 190 - 201
  • [47] Path Planning in Complex 3D Environments Using a Probabilistic Roadmap Method
    Fei Yan
    Yi-Sha Liu
    Ji-Zhong Xiao
    [J]. Machine Intelligence Research, 2013, (06) : 525 - 533
  • [48] Patient Motion & 4D Inverse Planning
    Bortfeld, T.
    Trofimov, A.
    Unkelbach, J.
    Martin, B.
    Nohadani, O.
    [J]. MEDICAL PHYSICS, 2008, 35 (06)
  • [49] Multi-GPU configuration of 4D intensity modulated radiation therapy inverse planning using global optimization
    Hagan, Aaron
    Sawant, Amit
    Folkerts, Michael
    Modiri, Arezoo
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2018, 63 (02):
  • [50] Adaptive Re-Planning for Proton Treatment of Lung Cancer Using 4D Planning
    Zhao, L.
    Singh, H.
    Prabhu, K.
    Gary, L.
    Zheng, Y.
    [J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2014, 90 : S923 - S923