Paper
1 September 2004 Concurrent constraint programming-based path planning for uninhabited air vehicles
Stefano Gualandi, Bruno Tranchero
Author Affiliations +
Abstract
This paper describes a study performed with the objective of investigating Concurrent Constraint Programming (CCP) as the main tool for the design and the implementation of a software path planner. The main features of the path planning are introduced along with some modeling and implementation issues. The CCP approach is motivated by the facility of translating complex models with domain specific features into efficient implementations. In order to use CCP, the path planning is formalized as a constraint satisfaction problem by defining variables, domains, and constraints. The proposed solution is as general as possible, and it is widely applicable in several contexts. A demo application has been implemented, and it is described in this paper. The application comes with a graphical interface that allow the user to define the mission constraints. The output of the application is a path plan, i.e. a list of waypoints that can also be displayed on a geographical map. The estimated path length, fuel consumption, and path risk are given as well.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stefano Gualandi and Bruno Tranchero "Concurrent constraint programming-based path planning for uninhabited air vehicles", Proc. SPIE 5417, Unattended/Unmanned Ground, Ocean, and Air Sensor Technologies and Applications VI, (1 September 2004); https://doi.org/10.1117/12.542109
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CITATIONS
Cited by 15 scholarly publications and 4 patents.
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KEYWORDS
Computer programming

Chemical elements

Unmanned aerial vehicles

Software development

Algorithm development

Atmospheric modeling

Genetic algorithms

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