Navigation in extreme environments – SCIPIO Optipath

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Authors
  1. Pigeon, L.
  2. Lecornu, L.
  3. Bergeron-Guyard, A.
  4. Bergeron, A.
Corporate Authors
Defence R&D Canada - Valcartier, Valcartier QUE (CAN)
Abstract
Urban areas are the centers of finance, politics, transportation, communication, industry, society and culture. For military operations, the urban battlespace can be depicted as a complex terrain where we can expect to be providing humanitarian assistance in one part of the city, conducting peacekeeping in another part, and fighting lethal mid-intensity battle in yet a third area of the city. A recurrent gap identified in urban theatres concerns the capability to navigate within a rapidly evolving environment. The objective of this report is to present the Optipath project, meant as a navigation tool for optimum path selection within dynamic urban environments. An historic review of urban operations is proposed. In addition, a review of military research and development in the area of urban operations is presented. The concept of Optipath is explained. Two main aspects are detailed: the development of a tailored graph search based algorithm and a unified approach for information management and fusion. Cases are then presented, followed by an analysis of algorithms and their performance. To conclude, a discussion proposes the next step to generalize Optipath at the tactical level or to use it as a proof of concept for information management and processing at the operational level.

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Keywords
dynamic navigation;urban operations;machine learning;graph theory;data, information fusion;Optipath;SCIPIO;NATO SAS-030;NATO IST-046
Report Number
DRDC-VALCARTIER-TR-2005-529 — Technical Report
Date of publication
01 Apr 2009
Number of Pages
94
DSTKIM No
CA032505
CANDIS No
531665
Format(s):
Electronic Document(PDF)

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