Distributed Dynamic Map Fusion via Federated Learning for Intelligent Networked Vehicles

The technology of dynamic map fusion among networked vehicles has been developed to enlarge sensing ranges and improve sensing accuracies for individual vehicles. This paper proposes a federated learning (FL) based dynamic map fusion framework to achieve high map quality despite unknown numbers of o...

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Veröffentlicht in:	arXiv.org 2022-09
Hauptverfasser:	Zhang, Zijian, Wang, Shuai, Hong, Yuncong, Zhou, Liangkai, Qi Hao
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computer Science - Artificial Intelligence Computer Science - Learning Computer Science - Multiagent Systems Distance learning Distillation Feature extraction Labels Machine learning Missing data Object recognition Vehicles
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