{"title":"智能采矿车辆感知增强技术：4D 毫米波雷达和多传感器融合","authors":"Jianjian Yang;Tianmu Gui;Yuyuan Zhang;Shirong Ge;Qiankun Huang;Guanghui Zhao","doi":"10.1109/TIV.2024.3427718","DOIUrl":null,"url":null,"abstract":"Advancements in 4D mmWave radar with multi-sensor fusion have significantly enhanced the robustness of autonomous driving systems. In the context of “Mining 5.0” based on parallel intelligence theory, autonomous haulage need to achieve full autonomy in open-pit mines. Current systems use 3D mmWave radar, LiDAR, and cameras but have limited automation progress. This perspective discusses the limitations of these systems and how integrating 4D mmWave radar can improve mining autonomy. This perspective results from discussions at several recent Distributed/Decentralized Hybrid Workshops on Autonomous Mining (DHW-AM) and aims at enhancing the intelligence of future mining operations.","PeriodicalId":36532,"journal":{"name":"IEEE Transactions on Intelligent Vehicles","volume":"9 6","pages":"5009-5013"},"PeriodicalIF":14.0000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancement Technology for Perception in Smart Mining Vehicles: 4D Millimeter-Wave Radar and Multi-Sensor Fusion\",\"authors\":\"Jianjian Yang;Tianmu Gui;Yuyuan Zhang;Shirong Ge;Qiankun Huang;Guanghui Zhao\",\"doi\":\"10.1109/TIV.2024.3427718\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Advancements in 4D mmWave radar with multi-sensor fusion have significantly enhanced the robustness of autonomous driving systems. In the context of “Mining 5.0” based on parallel intelligence theory, autonomous haulage need to achieve full autonomy in open-pit mines. Current systems use 3D mmWave radar, LiDAR, and cameras but have limited automation progress. This perspective discusses the limitations of these systems and how integrating 4D mmWave radar can improve mining autonomy. This perspective results from discussions at several recent Distributed/Decentralized Hybrid Workshops on Autonomous Mining (DHW-AM) and aims at enhancing the intelligence of future mining operations.\",\"PeriodicalId\":36532,\"journal\":{\"name\":\"IEEE Transactions on Intelligent Vehicles\",\"volume\":\"9 6\",\"pages\":\"5009-5013\"},\"PeriodicalIF\":14.0000,\"publicationDate\":\"2024-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Intelligent Vehicles\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10599193/\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Intelligent Vehicles","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10599193/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
Enhancement Technology for Perception in Smart Mining Vehicles: 4D Millimeter-Wave Radar and Multi-Sensor Fusion
Advancements in 4D mmWave radar with multi-sensor fusion have significantly enhanced the robustness of autonomous driving systems. In the context of “Mining 5.0” based on parallel intelligence theory, autonomous haulage need to achieve full autonomy in open-pit mines. Current systems use 3D mmWave radar, LiDAR, and cameras but have limited automation progress. This perspective discusses the limitations of these systems and how integrating 4D mmWave radar can improve mining autonomy. This perspective results from discussions at several recent Distributed/Decentralized Hybrid Workshops on Autonomous Mining (DHW-AM) and aims at enhancing the intelligence of future mining operations.
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The IEEE Transactions on Intelligent Vehicles (T-IV) is a premier platform for publishing peer-reviewed articles that present innovative research concepts, application results, significant theoretical findings, and application case studies in the field of intelligent vehicles. With a particular emphasis on automated vehicles within roadway environments, T-IV aims to raise awareness of pressing research and application challenges.
Our focus is on providing critical information to the intelligent vehicle community, serving as a dissemination vehicle for IEEE ITS Society members and others interested in learning about the state-of-the-art developments and progress in research and applications related to intelligent vehicles. Join us in advancing knowledge and innovation in this dynamic field.
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