ACNet: An Attention–Convolution Collaborative Semantic Segmentation Network on Sensor-Derived Datasets for Autonomous Driving

In intelligent vehicular networks, the accuracy of semantic segmentation in road scenes is crucial for vehicle-mounted artificial intelligence to achieve environmental perception, decision support, and safety control. Although deep learning methods have made significant progress, two main challenges...

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Bibliografische Detailangaben

Hauptverfasser:	Qiliang Zhang, Kaiwen Hua, Zi Zhang, Yiwei Zhao, Pengpeng Chen
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2025-08-01
Schriftenreihe:	Sensors
Schlagworte:	semantic segmentation deep learning attention mechanism convolution vehicle-mounted cameras autonomous driving
Online-Zugang:	https://www.mdpi.com/1424-8220/25/15/4776
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