2003Unpublished venueRequires access

Optimal path planning for unmanned air vehicles with kinematic and tactical constraints

Guang Yang, Vikram Kapila

Open publisher page 169 citations

Abstract

We consider a class of 2D optimal path-planning problems for unmanned air vehicles (UAVs) with kinematic and tactical constraints. The existence of an optimal path class satisfying the UAV kinematic constraints and vector calculus are exploited to reduce this class of optimal path-planning problems to a parameter optimization problem. Illustrative tactical constraints arising in target touring and obstacle avoidance problems are considered. A necessary condition for optimal path planning in the presence of tactical constraints is characterized.. An efficient numerical algorithm using simulated dynamics is developed to enforce the optimality criterion. The proposed optimal path planner can handle multiple tactical constraints. An illustrative numerical simulation demonstrates the efficacy of our approach.

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What this paper is about

We consider a class of 2D optimal path-planning problems for unmanned air vehicles (UAVs) with kinematic and tactical constraints. The existence of an optimal path class satisfying the UAV kinematic constraints and vector calculus are exploited to reduce this class of optimal path-planning problems to a parameter optimization problem. Illustrative tactical constraints arising in target touring and obstacle avoidance problems are considered. A necessary condition for optimal path planning in the presence of tactical constraints is characterized.. An efficient numerical algorithm using simulated dynamics is developed to enforce the optimality criterion. The proposed optimal path planner can handle multiple tactical constraints. An illustrative numerical simulation demonstrates the efficacy of our approach.

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OpenAlex reports 169 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We consider a class of 2D optimal path-planning problems for unmanned air vehicles (UAVs) with kinematic and tactical constraints. The existence of an optimal path class satisfying the UAV kinematic constraints and vector calculus are exploited to reduce this class of optimal path-planning problems to a parameter optimization problem. Illustrative tactical constraints arising in target touring and obstacle avoidance problems are considered. A necessary condition for optimal path planning in the presence of tactical constraints is characterized.. An efficient numerical algorithm using simulated dynamics is developed to enforce the optimality criterion. The proposed optimal path planner can handle multiple tactical constraints. An illustrative numerical simulation demonstrates the efficacy of our approach.

Key concepts: Kinematics, Motion planning, Path (computing), Mathematical optimization, Obstacle, Obstacle avoidance, Planner, Class (philosophy)

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