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This paper focuses on the flight path planning process with multi-agent for Unmanned Aerial Vehicle (UAV) based on threats analysis and path length constraint. Path planner agent searches the path with global view considering path length constraint and information collector agent deals with path planning in the zone of threats. Scoring function is presented based on analysis the threats' attributes...
Aiming at solving the problems of unsatisfactory routes planning that are suboptimal to optimal routes planning and dissatisfactory real time routes planning and routes planning of multiple unmanned aerial vehicles (UAVs) cooperation, a cost function of multiple UAVs routes planning is presented after modeling the primary factors influencing on multiple UAVs route planning. Then, Based on particle...
This paper presents path planning algorithms using Rapidly-exploring Random Trees (RRTs) to generate paths for multiple unmanned air vehicles (UAVs) in real time, from given starting locations to goal locations in the presence of static, pop-up and dynamic obstacles. Generating non-conflicting paths in obstacle rich environments for a group of UAVs within a given short time window is a challenging...
This paper presents a decentralized method to the problem of multiple unmanned aerial vehicles (UAVs) cooperative search of an unknown area. Firstly, based on search map model, the multiple UAVs cooperative search problem is posed as a receding horizon (RH) optimization decision problem, and a RH based UAV search decision process is proposed. Then, this centralized online optimization problem is partitioned...
Considered is the so called radar deception problem to motivate a change in paradigm in the approach to formation control that would address the key issue of dynamic feasibility. In this problem a team of possibly heterogeneous fixed winged unmanned aerial vehicles (UAVs) cooperate to deceive a ground radar network into seeing a spurious phantom track in its radar space. A real-time motion planning...
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