End-to-End One-Shot Path-Planning Algorithm for an Autonomous Vehicle Based on a Convolutional Neural Network Considering Traversability Cost

End-to-End One-Shot Path-Planning Algorithm for an Autonomous Vehicle Based on a Convolutional Neural Network Considering Traversability Cost

Path planning plays an important role in navigation and motion planning for robotics and automated driving applications. Most existing methods use iterative frameworks to calculate and plan the optimal path from the starting point to the endpoint. Iterative planning algorithms can be slow on large m...

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Bibliographic Details
Main Authors: Tongfei Bian, Yang Xing, Argyrios Zolotas
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
path planning
deep learning
fully convolutional neural network
grid map
Online Access:https://www.mdpi.com/1424-8220/22/24/9682

Internet

https://www.mdpi.com/1424-8220/22/24/9682

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