Real-Time Semantic Segmentation on Edge Devices with Nvidia Jetson AGX Xavier

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

Semantic segmentation is the problem of classifying every pixel in the image from a predefined set of classes or categories. It is a vital part of an autonomous vehicle vision system to perform traffic scene parsing. In such application, having accurate and low-latency performance is necessary but also challenging due to the task's high computational complexity. This study presents our implementation and performance evaluation of recent state-of-the-art semantic segmentation methods aiming to operate in high processing speed while maintaining high accuracy. Our experimental results on Cityscapes dataset and on Nvidia Jetson AGX Xavier mobile embedded platform demonstrate that it is possible to achieve that goal on resource-limited devices.

Original languageEnglish
Title of host publication2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665464345
DOIs
StatePublished - 2022
Externally publishedYes
Event2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022 - Yeosu, Korea, Republic of
Duration: 26 Oct 202228 Oct 2022

Publication series

Name2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022

Conference

Conference2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022
Country/TerritoryKorea, Republic of
CityYeosu
Period26/10/2228/10/22

Keywords

  • edge device
  • real-time
  • semantic segmentation
  • TensorRT

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