Encoder–Decoder Structure Fusing Depth Information for Outdoor Semantic Segmentation

The semantic segmentation of outdoor images is the cornerstone of scene understanding and plays a crucial role in the autonomous navigation of robots. Although RGB–D images can provide additional depth information for improving the performance of semantic segmentation tasks, current state–of–the–art...

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Bibliographic Details

Published in:	Applied sciences Vol. 13; no. 17; p. 9924
Main Authors:	Chen, Songnan, Tang, Mengxia, Dong, Ruifang, Kan, Jiangming
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.09.2023
Subjects:	Accuracy Artificial intelligence Deep learning feature pyramid fusion structure Interdisciplinary subjects Machine learning Neural networks predicted depth map RGB–D image Robots semantic segmentation Semantics Sensors
ISSN:	2076-3417, 2076-3417
Online Access:	Get full text
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