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Chapter

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Title

Aspects of autonomous drive control using NVIDIA Jetson Nano microcomputer

Authors

[ 1 ] Instytut Automatyki i Robotyki, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ SzD ] doctoral school student | [ P ] employee

Scientific discipline (Law 2.0)

[2.2] Automation, electronics, electrical engineering and space technology

Year of publication

2022

Chapter type

chapter in monograph / paper

Publication language

english

Abstract

EN The article describes the training process and experiments regarding autonomous movement by the autonomous car Waveshare JetRacer AI. The central unit responsible for controlling the vehicle’s systems, i.e. the steering servo and the DC motors used for the drive, is the NVIDIA Jetson Nano embedded device. The application of the IMX219 camera module for data acquisition and training of a neural network models on microcomputer and their use for the implementation of autonomous driving are described.

Pages (from - to)

117 - 120

DOI

10.15439/2022F89

URL

https://annals-csis.org/proceedings/2022/drp/89.html

Book

Proceedings of the 17th Conference on Computer Science and Intelligence Systems

Presented on

17th Conference on Computer Science and Intelligence Systems FedCSIS 2022, 4-7.09.2022, Sofia, Bulgaria

License type

CC BY (attribution alone)

Open Access Mode

publisher's website

Open Access Text Version

final published version

Ministry points / chapter

20

Ministry points / conference (CORE)

70

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