IEEE Transactions on Systems Man Cybernetics-Systems最新文献

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IEEE Transactions on Systems, Man, and Cybernetics publication information 电气和电子工程师学会《系统、人和控制论》期刊出版信息
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2024-10-16 DOI: 10.1109/TSMC.2024.3479609
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引用次数: 0
Information For Authors 作者须知
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2024-10-16 DOI: 10.1109/TSMC.2024.3479672
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引用次数: 0
Guest Editorial Enabling Technologies and Systems for Industry 5.0: From Foundation Models to Foundation Intelligence 特约编辑:工业 5.0 的使能技术和系统:从基础模型到基础智能
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2024-10-16 DOI: 10.1109/TSMC.2024.3466110
Ying Tang;Yonglin Tian;Yilun Lin;Chen Lv;Maria Pia Fanti
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引用次数: 0
IEEE Systems, Man, and Cybernetics Society Information 电气和电子工程师学会系统、人和控制论学会信息
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2024-10-16 DOI: 10.1109/TSMC.2024.3479611
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引用次数: 0
IEEE Transactions on Systems, Man, and Cybernetics publication information 电气和电子工程师学会《系统、人和控制论》期刊出版信息
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2024-10-16 DOI: 10.1109/TSMC.2024.3479668
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引用次数: 0
Information For Authors 作者须知
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2024-10-16 DOI: 10.1109/TSMC.2024.3479613
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引用次数: 0
IEEE Systems, Man, and Cybernetics Society Information 电气和电子工程师学会系统、人和控制论学会信息
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2024-10-16 DOI: 10.1109/TSMC.2024.3479670
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引用次数: 0
TechRxiv: Share Your Preprint Research with the World! TechRxiv:与世界分享您的预印本研究成果!
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2024-10-16 DOI: 10.1109/TSMC.2024.3479689
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引用次数: 0
Multimodal Perception and Decision-Making Systems for Complex Roads Based on Foundation Models 基于地基模型的复杂道路多模式感知与决策系统
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2024-10-07 DOI: 10.1109/TSMC.2024.3444277
Lili Fan;Yutong Wang;Hui Zhang;Changxian Zeng;Yunjie Li;Chao Gou;Hui Yu
{"title":"Multimodal Perception and Decision-Making Systems for Complex Roads Based on Foundation Models","authors":"Lili Fan;Yutong Wang;Hui Zhang;Changxian Zeng;Yunjie Li;Chao Gou;Hui Yu","doi":"10.1109/TSMC.2024.3444277","DOIUrl":"https://doi.org/10.1109/TSMC.2024.3444277","url":null,"abstract":"Since the inception of Industry 5.0 in 2021, a growing number of researchers have begun to pay their attention to the revolutionary shift it brings. The principles of Industry 5.0, including human-centric, sustainability, and emphasis on ecological and social values, will become the new paradigm for future industrial development. In this transformative landscape, artificial intelligence (AI) plays a pivotal role, and foundation models based on ChatGPT are set to reshape the organizational structure of industries. In this article, we introduce a multimodal perception and decision-making system built upon a foundational model. This system integrates image and point cloud data to enhance perception accuracy and provide ample information for decision making. It is designed to achieve a deep integration of AI and human-centric autonomous driving within the context of Industry 5.0. We introduce a cross-domain learning approach in the system architecture, along with a model training method from foundation models to handle complex road conditions. The proposed method enables road drivable area segmentation on complex unstructured roads. To address the issue of increased variance caused by the residual structure employed in previous works, this article introduces a distribution correction module, which effectively mitigates this problem. Furthermore, to achieve high-performance perception systems in intricate road scenarios, we put forth a multimodal perception fusion method in this study. The experiments demonstrate the superiority of this approach over single-sensor perception. This work contributes to the ongoing discourse on the convergence of AI, human-centric values, and advanced driving systems within the framework of Industry 5.0.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":null,"pages":null},"PeriodicalIF":8.6,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142443111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
TechRxiv: Share Your Preprint Research with the World! TechRxiv:与世界分享您的预印本研究成果!
IF 8.6 1区 计算机科学
IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2024-09-17 DOI: 10.1109/TSMC.2024.3455669
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引用次数: 0
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