Results 11 to 20 of about 249,337 (265)
Driver Intention Recognition: State-of-the-Art Review
IEEE Open Journal of Intelligent Transportation Systems, 2022 Every year worldwide more than one million people die and a further 50 million people are injured in traffic accidents. Therefore, the development of car safety features that actively support the driver in preventing accidents, is of utmost importance to
Koen Vellenga +5 more
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Detection of Driving Capability Degradation for Human-Machine Cooperative Driving
Sensors, 2020 Due to the limitation of current technologies and product costs, humans are still in the driving loop, especially for public traffic. One key problem of cooperative driving is determining the time when assistance is required by a driver.
Feng Gao, Bo He, Yingdong He
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Improving Driver Emotions with Affective Strategies
Multimodal Technologies and Interaction, 2019 Drivers in negative emotional states, such as anger or sadness, are prone to perform bad at driving, decreasing overall road safety for all road users.
Michael Braun +3 more
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A Fatigue Driving Detection Algorithm Based on Facial Multi-Feature Fusion
IEEE Access, 2020 Researches on machine vision-based driver fatigue detection algorithm have improved traffic safety significantly. Generally, many algorithms do not analyze driving state from driver characteristics. It results in some inaccuracy.
Kening Li, Yunbo Gong, Ziliang Ren
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Energies, 2020 The agro-environmental impact of supplemented biochar manure pellet fertilizer (SBMPF) application was evaluated by exploring changes of the chemical properties of paddy water and soil, carbon sequestration, and grain yield during rice cultivation.
JoungDu Shin +2 more
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EEG-Based Classification of the Driver Alertness State
Current Directions in Biomedical Engineering, 2020 GMLVQ (Generalized Matrix Relevance Learning Vector Quantization) is a method of machine learning with an adaptive metric. While training, the prototype vectors as well as the weight matrix of the metric are adapted simultaneously.
Golz Martin +2 more
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Suppression of conflict between Human and Machine by Human-Centered Shared Control
Nihon Kikai Gakkai ronbunshu, 2021 It will take a long time to put autonomous driving into practical in city road. Because the reliability of the technology for collecting traffic environment information and making appropriate driving judgment plans is still insufficient.
Kei MASUDA, Yasuo FUJII, Hiroshi MOURI
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Research on Driver Status Recognition System of Intelligent Vehicle Terminal Based on Deep Learning
World Electric Vehicle Journal, 2021 Automobile safety driving technology is a hot topic in today’s society, which is very significant to the social transportation system. Vehicle driving behavior monitoring is the foundation and core of safe driving techniques.
Yiming Xu, Wei Peng, Li Wang
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Sensors, 2022 As vehicles provide various services to drivers, research on driver emotion recognition has been expanding. However, current driver emotion datasets are limited by inconsistencies in collected data and inferred emotional state annotations by others.
Geesung Oh +6 more
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On Driver Behavior Recognition for Increased Safety: A Roadmap
Safety, 2020 Advanced Driver-Assistance Systems (ADASs) are used for increasing safety in the automotive domain, yet current ADASs notably operate without taking into account drivers’ states, e.g., whether she/he is emotionally apt to drive.
Luca Davoli +14 more
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