A Path Planning Model for Intercepting a Moving Target with Finite Obstacle Avoidance

Fuente: arXiv
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Autores principales: Akter, Masuda, Rizvi, Mohammed Mustafa
Formato: Preprint
Publicado: 2025
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author Akter, Masuda
Rizvi, Mohammed Mustafa
author_facet Akter, Masuda
Rizvi, Mohammed Mustafa
contents This paper investigates the problem of computing a two-dimensional optimal curvature straight line (CS) shortest path for an unmanned aerial vehicle (UAV) to intercept a moving target, with both the UAV (pursuer) and target travelling at constant speeds. We formulate an optimal control problem that integrates two critical objectives: avoiding static obstacles and successfully intercepting the target. The approach introduces constraints derived from obstacle avoidance and target interception requirements. A geometric framework is developed, along with sufficient conditions for path optimality under the imposed constraints. The problem is initially examined in the presence of a single obstacle and later extended to scenarios involving a finite number of obstacles. Numerical experiments are carried out to evaluate the performance and efficiency of the proposed model using illustrative examples. Finally, we present a realistic case study using actual geographic data, including obstacle placement, target trajectory, and heading angles, to demonstrate the practical applicability and effectiveness of the proposed method in real-world scenarios.
format Preprint
id arxiv_https___arxiv_org_abs_2507_01447
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Path Planning Model for Intercepting a Moving Target with Finite Obstacle Avoidance
Akter, Masuda
Rizvi, Mohammed Mustafa
Optimization and Control
90-XX
This paper investigates the problem of computing a two-dimensional optimal curvature straight line (CS) shortest path for an unmanned aerial vehicle (UAV) to intercept a moving target, with both the UAV (pursuer) and target travelling at constant speeds. We formulate an optimal control problem that integrates two critical objectives: avoiding static obstacles and successfully intercepting the target. The approach introduces constraints derived from obstacle avoidance and target interception requirements. A geometric framework is developed, along with sufficient conditions for path optimality under the imposed constraints. The problem is initially examined in the presence of a single obstacle and later extended to scenarios involving a finite number of obstacles. Numerical experiments are carried out to evaluate the performance and efficiency of the proposed model using illustrative examples. Finally, we present a realistic case study using actual geographic data, including obstacle placement, target trajectory, and heading angles, to demonstrate the practical applicability and effectiveness of the proposed method in real-world scenarios.
title A Path Planning Model for Intercepting a Moving Target with Finite Obstacle Avoidance
topic Optimization and Control
90-XX
url https://arxiv.org/abs/2507.01447