Multimodal interior comfort evaluation via odor and vision information

•This study addresses the limited monitoring perspectives and lack of comprehensive comfort evaluation models in ride-hailing services by introducing a genetic algorithm-optimized visual-odor multimodal in-car comfort assessment system. This paper focuses on two environmental factors with ‘long-term...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Measurement : journal of the International Measurement Confederation Jg. 253; S. 117773
Hauptverfasser:	Ji, Yujiao, Wang, Han, Jin, Lei, Liu, Zhixuan, Wang, Guangcheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.09.2025
Schlagworte:	Evaluation of In-Car Comfort Genetic Algorithm Optimization Low-carbon Green Travel Odor Pseudo-Image Encoder Visual-Odor Multimodal Fusion Network Visual-Odor Multimodal Fusion Network Evaluation of In-Car Comfort Genetic Algorithm Optimization Low-carbon Green Travel Odor Pseudo-Image Encoder
ISSN:	0263-2241
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!