Path planning of autonomous agricultural machineries in complex rural road

Path planning of autonomous agricultural machineries in complex rural road

This study mainly investigates the path planning and collision avoidance problem of autonomous agricultural machineries in the complex rural road. First, the grid model is used to build the global map of machineries and the particle swarm optimisation algorithm is used to search the global path. A n...

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Bibliographic Details
Main Authors: Jinbo Cui, Xianfeng Zhang, Xinmiao Fan, Wei Feng, Ping Li, Yu Wu
Format: Article
Language:English
Published: Wiley 2020-03-01
Series:The Journal of Engineering
Subjects:
predictive control
collision avoidance
particle swarm optimisation
agricultural machinery
nonlinear dynamic inertia weight
traditional particle swarm optimisation
road boundary force
autonomous machinery
model predictive control algorithm
autonomous agricultural machinery
path planning
collision avoidance problem
particle swarm optimisation algorithm
machinery dynamic model
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0840

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0840

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