我国无人驾驶矿用自卸车发展现状和未来展望
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:Development Status and Future Prospect of Unmanned Mine Dump Trucks in China
  • 作者:李志国
  • 英文作者:LI Zhi-guo;MCC (Xiangtan) Mining Equipment LLC;
  • 关键词:矿用自卸车 ; 无人驾驶 ; 人工智能 ; 雷达技术 ; 智能矿山
  • 英文关键词:mining truck;;driverless;;artificial intelligence;;radar technology;;intelligent mining
  • 中文刊名:TYGC
  • 英文刊名:Copper Engineering
  • 机构:中冶京诚(湘潭)矿山装备有限公司;
  • 出版日期:2019-04-15
  • 出版单位:铜业工程
  • 年:2019
  • 期:No.156
  • 语种:中文;
  • 页:TYGC201902002
  • 页数:6
  • CN:02
  • ISSN:36-1237/TF
  • 分类号:8-12+18
摘要
随着人工智能的发展,无人驾驶技术成为近年来研究的热点。各大互联网巨头和研究所都相继进入了无人驾驶的研究领域,无人驾驶技术也得到了很大的发展,无人驾驶在某些技术层面上取得了新的巨大的突破,国内的各大乘用车厂商也都开始了各自无人驾驶汽车的研究。但目前为止,在无人驾驶矿用车的研究上,参与的企业并不多。文中旨在梳理目前国内外无人驾驶矿用自卸车的状况,综述无人驾驶矿用自卸车的主要技术要点,总结无人驾驶矿用自卸车的发展现状及对未来展望。
        With the development of artificial intelligence, unmanned driving technology has become a research hotspot in recent years. Major Internet giants and research institutes have entered the field of unmanned driving research. Unmanned driving has made new and tremendous breakthroughs in some technical aspects. Major passenger car manufacturers internal have also begun to study their own driverless cars. But so far,in the research of driverless mining vehicles, there are not many enterprises involved. The purpose of this paper is to sort out the current situation of driverless mine dump trucks at home and abroad. The main technical points of driverless mine dump truck are summarized,and the current development of unmanned dump truck and the future development trend are also summarized in this paper.
引文
[1]黎俊逸.浅谈无人驾驶车辆[J].才智·Ability And Wisdom,2018(30):221.
    [2]马浩然.人工智能技术在无人驾驶汽车领域的应用分析[J].通讯世界,2018(9):230-231.
    [3]蒋婷.无人驾驶传感器系统的发展现状及未来展望[J].中国设备工程,2018 (21):180-181.
    [4]赵翾.无人驾驶地下矿用汽车路径跟踪与速度决策研究[D].北京:北京科技大学,2015:1-20.
    [5]杨臣.金属矿山中无人驾驶矿车控制系统的研究[J].昆明:昆明理工大学,2012:1-16.
    [6]贾瑞杰.我国无人驾驶技术发展现状研究[J].电子世界,2018(15):33-34.
    [7]张俊元.无人驾驶系统中的关键技术浅论[J].时代汽车,2018(11):31-32.
    [8]卢秋帆.无人驾驶汽车的可行性分析[J].才智·Ability And Wisdom,2018(19):250.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700