Study on the Path Planning Method for Oilfield Patrolling UAV based on Leapfrog Particle Swarm Optimization
To improve the path planning method for traditional oilfield patrolling UAV. Based on the complex network theory and the example for path planning, search for the rough path through Dijkstra algorithm. The results of simulation analysis shows that the improvement of improved particle swarm optimizat...
Main Authors: | Xiaopeng Guo, Zhili Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
AIDIC Servizi S.r.l.
2018-07-01
|
Series: | Chemical Engineering Transactions |
Online Access: | https://www.cetjournal.it/index.php/cet/article/view/2819 |
Similar Items
-
Continuous patrolling in uncertain environment with the UAV swarm.
by: Xin Zhou, et al.
Published: (2018-01-01) -
A UAV-Based Forest Fire Patrol Path Planning Strategy
by: Yiqing Xu, et al.
Published: (2022-11-01) -
Three-Dimensional Path Planning of UAV Based on Improved Particle Swarm Optimization
by: Lixia Deng, et al.
Published: (2023-04-01) -
UAV Path planning for line patrol based on improved Fleury algorithm
by: SHU Qingfei, et al.
Published: (2023-01-01) -
Chaos Particle Swarm Optimization Enhancement Algorithm for UAV Safe Path Planning
by: Hongyue Chu, et al.
Published: (2022-09-01)