Path Planning of the Swarm Unmanned Aerial Vehicles in the Constrained Environment: A Survey

The path planning for the swarm unmanned aerial vehicles (UAVs) is one of the important directions in the practice. Compared to single UAV path planning, multi drone path planning considers spatial and temporal coordination constraints, flight safety, and other issues. First, the typical path planning methods are discussed with graph-based, mathematical model based and artificial intelligence based categories, where the advantages and disadvantages of each type methods are compared and summarized with adaptable scenarios. Then the swarm path planning methods of UAVs in the constrained environments, i.e. city streets, forests, low space among high ground buildings are discussed. A case study of path planning in the fire rescuing collaborated with ground vehicles and air drones for the large-scale patrolling is provided as well. A summary of the path planning direction with the combination of various algorithms can be drawn for better applications.

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Publication Details

Published
2024-12-10
DOI
https://doi.org/10.1109/robio64047.2024.10907337
Citations
2
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.50

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article

Path Planning of the Swarm Unmanned Aerial Vehicles in the Constrained Environment: A Survey

Yimin Zhou, Lingjian Ye, Xiaoming He
2 citations
Robotic Path Planning Algorithms
0.50
article

Path Planning of the Swarm Unmanned Aerial Vehicles in the Constrained Environment: A Survey

Yimin Zhou, Lingjian Ye, Xiaoming He
article en
2 citations

Abstract

The path planning for the swarm unmanned aerial vehicles (UAVs) is one of the important directions in the practice. Compared to single UAV path planning, multi drone path planning considers spatial and temporal coordination constraints, flight safety, and other issues. First, the typical path planning methods are discussed with graph-based, mathematical model based and artificial intelligence based categories, where the advantages and disadvantages of each type methods are compared and summarized with adaptable scenarios. Then the swarm path planning methods of UAVs in the constrained environments, i.e. city streets, forests, low space among high ground buildings are discussed. A case study of path planning in the fire rescuing collaborated with ground vehicles and air drones for the large-scale patrolling is provided as well. A summary of the path planning direction with the combination of various algorithms can be drawn for better applications.

Chinese Academy of Sciences (CN), Guilin University of Technology (CN), Shenzhen Institutes of Advanced Technology (CN)
National Key Research and Development Program of China
Sustainable cities and communities
Openalex Percentile: Top 32%
Robotic Path Planning Algorithms
0.50
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