Lightweight Convolutional Neural Networks with Model-Switching Architecture for Multi-Scenario Road Semantic Segmentation

A convolutional neural network (CNN) that was trained using datasets for multiple scenarios was proposed to facilitate real-time road semantic segmentation for various scenarios encountered in autonomous driving. However, the CNN inhibited the mutual suppression effect between weights; thus, it did...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Peng-Wei Lin, Chih-Ming Hsu
Format:	Article
Language:	English
Published:	MDPI AG 2021-08-01
Subjects:	multi-model lightweight road segmentation convolutional neural network
Online Access:	https://www.mdpi.com/2076-3417/11/16/7424