Processing may take a few seconds...

Chapter


Title

Evaluation of Embedded Devices for Real-Time Video Lane Detection

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 and electrical engineering

Year of publication

2022

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • lane detection
  • embedded systems
  • video analysis
  • microprocessor power modes
  • NVIDIA Jetson
  • Raspberry Pi
Abstract

EN This paper presents a comparison of the performance of embedded systems processing video sequences in real time. As part of the work, practical programs for detecting lanes located on airport areas, which allow autonomous vehicles to move around the airport, were tested. The following modules were used during the tests: Raspberry Pi 4B, NVIDIA Jetson Nano, NVIDIA Jetson Xavier AGX. For modules from the NVIDIA Jetson family, the maximum performance of video stream processing depending on the resolution and the selected power mode has been checked. The results of the experiment show that NVIDIA Jetson modules have sufficient computing resources to effectively track lines based on the camera image, even in low power modes.

Pages (from - to)

187 - 191

DOI

10.23919/MIXDES55591.2022.9838167

URL

https://ieeexplore.ieee.org/document/9838167

Book

Mixed Design of Integrated Circuits and System MIXDES 2022

Presented on

29th International Conference on Mixed Design of Integrated Circuits and System (MIXDES 2022), 23-24.06.2022, Wrocław, Polska

Ministry points / chapter

20.0

This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.