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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Vydané v:	Applied sciences Ročník 13; číslo 17; s. 9924
Hlavní autori:	Chen, Songnan, Tang, Mengxia, Dong, Ruifang, Kan, Jiangming
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.09.2023
Predmet:	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
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