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

IF 14 1区工程技术 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

IEEE Transactions on Intelligent Vehicles Pub Date : 2024-06-01 DOI:10.1109/TIV.2024.3427718

Jianjian Yang;Tianmu Gui;Yuyuan Zhang;Shirong Ge;Qiankun Huang;Guanghui Zhao

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引用次数: 0

摘要

四维毫米波雷达与多传感器融合技术的进步大大增强了自动驾驶系统的鲁棒性。在基于并行智能理论的 "采矿 5.0 "背景下，自主运输需要在露天矿中实现完全自主。目前的系统使用三维毫米波雷达、激光雷达和摄像头，但自动化进展有限。本视角讨论了这些系统的局限性，以及集成 4D 毫米波雷达如何提高采矿自主性。本视角源于最近几届分布式/分散式混合自主采矿研讨会（DHW-AM）的讨论，旨在提高未来采矿作业的智能化水平。

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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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来源期刊

IEEE Transactions on Intelligent Vehicles Mathematics-Control and Optimization

CiteScore

12.10

自引率

13.40%

发文量

177

期刊介绍： 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.