@inproceedings{b5974c9e349a4c11b468152789c2a04a,
title = "Real-Time Semantic Segmentation on Edge Devices with Nvidia Jetson AGX Xavier",
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.",
keywords = "edge device, real-time, semantic segmentation, TensorRT",
author = "Nguyen, \{Huy Hung\} and Tran, \{Duong Nguyen Ngoc\} and Jeon, \{Jae Wook\}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022 ; Conference date: 26-10-2022 Through 28-10-2022",
year = "2022",
doi = "10.1109/ICCE-Asia57006.2022.9954835",
language = "English",
series = "2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022",
}