2024
DOI: 10.17587/mau.25.559-567
|View full text |Cite
|
Sign up to set email alerts
|

Method of Motion Path Planning Based on a Deep Neural Network with Vector Input

N. Hamdan,
M. Medvedev,
V. Pshikhopov

Abstract: The article deals with the problem of path planning in a two-dimensional environment based on deep learning neural networks. Deep neural networks require large amounts of data and place high computational requirements on computing tools. The lack of sufficient data leads to a decrease in the accuracy of the neural network, and high computational requirements at the learning stage limit the use of this technology in engineering practice. In this paper, the forms of representation of the environment for the inpu… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 31 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?