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检索条件"任意字段=23rd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2022"
102 条 记 录,以下是91-100 订阅
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Toward Kinesthetic Empathy in Developmental Disorder Prediction: A key to raise the Dance/Movement Therapy to a medical test
Toward Kinesthetic Empathy in Developmental Disorder Predict...
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international Symposium on Soft Computing and intelligent Systems (SCIS)
作者: Yukari Sakiyama Hiroharu Kawanaka Haruhiko Takase Yoshihiko Hirabayashi Atsushi Inoue Dep. Of Early Childhood Education Mukogawa Women’s University Nishinomiya Japan Graduate School of Engineering Mie University Tus Japan Graduate School of Regional Innovation Mie University Tus Japan
This paper introduces the concept of Kinesthetic Empathy (KE) as a key to attribute critical states of emotion throughout observing movement and dancing of a patient in Dance/Movement Therapy. While this concept of KE... 详细信息
来源: 评论
How Can Machine learning Models Be Used for Subjective Assessment of Safety and Comfort: Application on Free Lane Change Maneuver
How Can Machine Learning Models Be Used for Subjective Asses...
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international Symposium on Soft Computing and intelligent Systems (SCIS)
作者: Batuhan Durukal Mert Eren Ömer Çetin Egemen Karabıyık Namık Zengin Sarp Kaya Yetkin AVL Research and Engineering Istanbul Turkey
Subjective evaluation plays a key role in autonomous driving feature validation for safety, comfort, and driving quality. As for being objective, it is also important to evaluate the autonomous features with key perfo... 详细信息
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Modelling the relationships between local landscape features and habitat suitability of Genji-firefly Luciola cruciata using Random Forests
Modelling the relationships between local landscape features...
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international Symposium on Soft Computing and intelligent Systems (SCIS)
作者: Tomoya Ogami Shinji Fukuda Hirofumi Kakudo Graduate School of Agriculture Tokyo University of Agriculture and Technology Tokyo Japan Division of Environmental and Agricultural Engineering Tokyo University of Agriculture and Technology Tokyo Japan Program in Architecture Civil and Environmental Engineering Faculty of Engineering and Design Kagawa University Kagawa Japan
Genji-firefly has been one of the key symbols of rural environmental conservation. The species lives underwater as larvae, in the soil when they pupate, and emerges on the ground as adults. Because the habitat conditi... 详细信息
来源: 评论
Explainability of intelligent Transportation Systems using Knowledge Compilation: a Traffic Light Controller Case
Explainability of Intelligent Transportation Systems using K...
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international conference on intelligent Transportation
作者: Salomón Wollenstein-Betech Christian Muise Christos G. Cassandras Ioannis Ch. Paschalidis Yasaman Khazaeni Division of Systems Engineering Boston University Boston MA USA School of Computing Queen’s University Kingston ON Canada IBM Research AI Cambridge MA USA
Usage of automated controllers which make decisions on an environment are widespread and are often based on black-box models. We use Knowledge Compilation theory to bring explainability to the controller's decisio... 详细信息
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Automatic Generation of Road Feature Identification Models from Point Cloud data Using HD Maps
Automatic Generation of Road Feature Identification Models f...
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international Symposium on Soft Computing and intelligent Systems (SCIS)
作者: Ryuichi Imai Kenji Nakamura Yoshinori Tsukada Noriko Aso Jin Yamamoto Faculty of Engineering and Design Hosei University Shinjuku City Tokyo Japan Faculty of Information Technology and Social Sciences Osaka University of Economics Osaka City Osaka Japan Faculty of Business Administration Setsunan University Neyagawa City Osaka Japan Dynamic Map Platform Chuo City Tokyo Japan Faculty of Engineering and Design Hosei University Graduate School Shinjuku City Tokyo Japan
A large amount of point cloud data has been measured and accumulated at various locations for Japanese public works by introducing mobile mapping systems and terrestrial laser scanners. However, since point cloud data... 详细信息
来源: 评论
learning-Based Shape Estimation with Grid Map Patches for Realtime 3D Object Detection for automated Driving
Learning-Based Shape Estimation with Grid Map Patches for Re...
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international conference on intelligent Transportation
作者: Hendrik Königshof Christoph Stiller Intelligent Systems and Production Engineering FZI Research Center for Information Technology Karlsruhe Germany Institute of Measurement and Control Systems Karlsruhe Institute of Technology (KIT) Karlsruhe Germany
3D object detection serves as a crucial basis of visual perception, motion prediction, and planning for automated driving. To apply an algorithm for this purpose, the detection of all types of road users in real-time ... 详细信息
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Specific Energy Consumption Prediction Framework in Hydrogen Liquefaction Process Using Deep Neural Network Based on Quantum Mechanics
Specific Energy Consumption Prediction Framework in Hydrogen...
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international Symposium on Soft Computing and intelligent Systems (SCIS)
作者: Eunseo Oh Jaeuk Jang Sangmin Park Hyunsoo Lee Industrial Engineering Kumoh National Institute of Technology Gumi South Korea
Energy supply methods are being diversified due to competition for resources due to depletion of fossil fuels and continued high oil prices. Hydrogen energy has the advantage of low carbon dioxide emission and the abi... 详细信息
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Developing a data-driven Modularized Model of a Plug-in Hybrid Electric Bus (PHEB) for Connected and automated Vehicle Applications
Developing a Data-driven Modularized Model of a Plug-in Hybr...
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international conference on intelligent Transportation
作者: Zhouqiao Zhao Zhensong Wei Guoyuan Wu Matthew J. Barth Bourns College of Engineering Center for Environmental Research and Technology (CE-CERT) University of California Riverside CA USA
Shared Electric Connected and automated Vehicles have the potential to improve transportation safety, mobility, and energy efficiency. A plug-in hybrid electric architecture is well suited for developing connected and... 详细信息
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Identifying High Risk Driving Scenarios Utilizing a CNN-LSTM Analysis Approach*
Identifying High Risk Driving Scenarios Utilizing a CNN-LSTM...
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international conference on intelligent Transportation
作者: Rongiie Yu Haoan Ai Zhen Gao Key Laboratory of Road and Traffic Engineering of the Ministry of Education Tongji University Shanghai China College of Transportation Engineering Tongji University Shanghai China School of Software Engineering Tongji University Shanghai China
High risk driving scenarios are critical for the deployment of highly automated vehicles virtual test. In this study, we have proposed a deep learning method to identify high risk scenarios from the field operation te... 详细信息
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Use Information You Have Never Observed Together: data Fusion as a Major Step Towards Realistic Test Scenarios
Use Information You Have Never Observed Together: Data Fusio...
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international conference on intelligent Transportation
作者: Maximilian Bäumler Linda Dziuba-Kaiser Zian Yin Matthias Lehmann Günther Prokop Faculty of Transport and Traffic Sciences Dresden Institute of Automobile Engineering Dresden Germany Technische Universität Dresden Dresden Germany
Scenario-based testing is a major pillar in the development and effectiveness assessment of automated driving systems. Thereby, test scenarios address different information layers and situations (normal driving, criti... 详细信息
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