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...

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Vydané v:	Measurement : journal of the International Measurement Confederation Ročník 253; s. 117773
Hlavní autori:	Ji, Yujiao, Wang, Han, Jin, Lei, Liu, Zhixuan, Wang, Guangcheng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.09.2025
Predmet:	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
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