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Multimodal Warnings Design for In-Vehicle Robots under Driving Safety Scenarios
In case of dangerous driving, the in-vehicle robot can provide multimodal warnings to help the driver correct the wrong operation, so the impact of the warning signal itself on driving safety needs to be reduced.
Jianmin Wang +5 more
doaj +1 more source
SAET: The Non-Verbal Measurement Tool in User Emotional Experience
In this paper, the development process and validation of a self-assessment emotion tool (SAET) is described, which establishes an emotion-assessment method to improve pictorial expression design. The tool is based on an emotion set of emotional-cognition-
Jianmin Wang +5 more
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Wheel/rail-force–based maintenance interval extension of the C80 series wagon [PDF]
Purpose – This study aims to introduce the achievements and benefits of applying wheel/rail-force–based maintenance interval extension of the C80 series wagon in China.
Qi Xiao +3 more
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IntroductionGrass pea (Lathyrus sativus L.), a resilient legume adapted to drought and waterlogged conditions, presents a promising solution for sustainable intensification of rice-fallow systems in South Asia, where ~9.7 million hectares remain ...
Kumari Shubha +9 more
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A Taxonomy for Heavy-Duty Telemanipulation Tasks Using Elemental Actions
In the maintenance of large scientific facilities, telemanipulation procedures can involve various subprocedures which in turn are made up of a sequence of subtasks.
Alexander Owen-Hill +4 more
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El desplazamiento en Colombia es una situación problemática que afecta a la población más vulnerable y que puede producir secuelas físicas y mentales.
Diego Pérez Vásquez +4 more
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Design of Proactive Interaction for In-Vehicle Robots Based on Transparency
Based on the transparency theory, this study investigates the appropriate amount of transparency information expressed by the in-vehicle robot under two channels of voice and visual in a proactive interaction scenario.
Jianmin Wang +6 more
doaj +1 more source
The Road to Safety: A Review of Uncertainty and Applications to Autonomous Driving Perception
Deep learning approaches have been gaining importance in several applications. However, the widespread use of these methods in safety-critical domains, such as Autonomous Driving, is still dependent on their reliability and trustworthiness.
Bernardo Araújo +4 more
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IntroductionGut microbiota play a critical role in aquaculture by enhancing nutrient metabolism, digestion, immune response, and reproductive performance in fish.
Jitendra Kumar Sundaray +8 more
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Comparing autoencoder-based approaches for anomaly detection in highway driving scenario images
Autoencoder-based anomaly detection approaches can be used for precluding scope compliance failures of the automotive perception. However, the applicability of these approaches for the automotive domain should be thoroughly investigated.
Vasilii Mosin +3 more
doaj +1 more source

