Shuai Wang;Luoyu Mei;Ruofeng Liu;Wenchao Jiang;Zhimeng Yin;Xianjun Deng;Tian He
{"title":"Multi-Modal Fusion Sensing: A Comprehensive Review of Millimeter-Wave Radar and Its Integration With Other Modalities","authors":"Shuai Wang;Luoyu Mei;Ruofeng Liu;Wenchao Jiang;Zhimeng Yin;Xianjun Deng;Tian He","doi":"10.1109/COMST.2024.3398004","DOIUrl":null,"url":null,"abstract":"Millimeter-wave (mmWave) radar, with its high resolution, sensitivity to micro-vibrations, and adaptability to various environmental conditions, holds immense potential across multi-modal fusion sensing. Although there exist review papers on mmWave radar, there is a noticeable lack of comprehensive reviews focusing on its multi-modal fusion sensing capabilities. Addressing this gap, our review offers an extensive exploration of mmWave radar multi-modal fusion sensing, emphasizing its integration with other modalities. This review discusses the complex realm of millimeter-wave radar multi-modal fusion sensing, detailing its importance, hardware and software aspects, principles, and current potential and applications. It delves into data characteristics and datasets associated with mmWave radar, focusing on Doppler, point cloud, and multi-modal data formats. The review highlights how these data types enhance multi-modal fusion sensing and discusses methodologies, including signal processing and learning algorithms. Three categories of multi-modal fusion methodologies are proposed to optimally manage and interpret fused data. Various practical applications of mmWave radar multi-modal fusion sensing are illustrated, underlining the unique capabilities it provides when integrated with other sensors. The review concludes by identifying potential future research avenues, underscoring the immense potential of this field for further exploration and advancement.","PeriodicalId":55029,"journal":{"name":"IEEE Communications Surveys and Tutorials","volume":"27 1","pages":"322-352"},"PeriodicalIF":34.4000,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Communications Surveys and Tutorials","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10525189/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Millimeter-wave (mmWave) radar, with its high resolution, sensitivity to micro-vibrations, and adaptability to various environmental conditions, holds immense potential across multi-modal fusion sensing. Although there exist review papers on mmWave radar, there is a noticeable lack of comprehensive reviews focusing on its multi-modal fusion sensing capabilities. Addressing this gap, our review offers an extensive exploration of mmWave radar multi-modal fusion sensing, emphasizing its integration with other modalities. This review discusses the complex realm of millimeter-wave radar multi-modal fusion sensing, detailing its importance, hardware and software aspects, principles, and current potential and applications. It delves into data characteristics and datasets associated with mmWave radar, focusing on Doppler, point cloud, and multi-modal data formats. The review highlights how these data types enhance multi-modal fusion sensing and discusses methodologies, including signal processing and learning algorithms. Three categories of multi-modal fusion methodologies are proposed to optimally manage and interpret fused data. Various practical applications of mmWave radar multi-modal fusion sensing are illustrated, underlining the unique capabilities it provides when integrated with other sensors. The review concludes by identifying potential future research avenues, underscoring the immense potential of this field for further exploration and advancement.
期刊介绍：
IEEE Communications Surveys & Tutorials is an online journal published by the IEEE Communications Society for tutorials and surveys covering all aspects of the communications field. Telecommunications technology is progressing at a rapid pace, and the IEEE Communications Society is committed to providing researchers and other professionals the information and tools to stay abreast. IEEE Communications Surveys and Tutorials focuses on integrating and adding understanding to the existing literature on communications, putting results in context. Whether searching for in-depth information about a familiar area or an introduction into a new area, IEEE Communications Surveys & Tutorials aims to be the premier source of peer-reviewed, comprehensive tutorials and surveys, and pointers to further sources. IEEE Communications Surveys & Tutorials publishes only articles exclusively written for IEEE Communications Surveys & Tutorials and go through a rigorous review process before their publication in the quarterly issues.
A tutorial article in the IEEE Communications Surveys & Tutorials should be designed to help the reader to become familiar with and learn something specific about a chosen topic. In contrast, the term survey, as applied here, is defined to mean a survey of the literature. A survey article in IEEE Communications Surveys & Tutorials should provide a comprehensive review of developments in a selected area, covering its development from its inception to its current state and beyond, and illustrating its development through liberal citations from the literature. Both tutorials and surveys should be tutorial in nature and should be written in a style comprehensible to readers outside the specialty of the article.
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