露天矿无人驾驶自卸卡车发展综述

doi:10.11799/ce202102007

摘要/Abstract

摘要： 露天开采是矿产资源开发的重要方式，针对其运输成本高、车队协调性差、驾驶员流动性大等问题，文章结合其作业环境人流少、运输路线固定等场景特殊性，分析露天矿无人驾驶系统建设的实际需求，综述了国内外无人驾驶自卸卡车的发展及其系统的技术特点，并总结了其关键技术，包括定位、感知、决策和规划等，分析了发展趋势。

关键词: 露天矿, 智慧矿山, 无人驾驶自卸卡车, 自动驾驶

Abstract: Open-pit mining is an important way to develop mineral resources. In view of its high transportation costs, poor coordination of fleets, and large mobility of drivers, this paper analyzes the unmanned driving of open-pit mines based on the particularity of its operating environment, such as low crowd flow and fixed transportation routes The actual needs of system construction, summarized the development of domestic and foreign unmanned mining cards and the technical characteristics of the system, and summarized its key technologies, including positioning, perception, decision-making and planning, and then analyzed the development trend.

李庆玲, 张慧祥, 赵旭阳, 许茂洲. 露天矿无人驾驶自卸卡车发展综述[J]. 煤炭工程, 2021, 53(2): 29-34.

参考文献 36

[1]	李文峰，李文娟，王斌. 露天矿信息化建设[M]. 1版. 北京：煤炭工业出版社，2017：1-2.Li W F, Li W J, Wang B, et al. Open-pit mine information construction[M]. 1th ed. Beijing: Coal Industry Press, 2017: 1-2.
[2]	张涛，路向阳，李雷，等. 露天矿运输无人驾驶关键技术与标准[J].控制与信息技术，2019.Zhang T, Lu X Y, Li L, et al. Key technologies and standards for unmanned driving in surface mine transportation[J]. Control and Information Technology, 2019.
[3]	殷凡青，李传友，姜良超，等. 自动驾驶汽车的发展现状与展望[J]. 智能车，2019.Yin F Q, Li C Y, Jiang L C, et al. Development Status and Prospects of Autonomous Vehicles[J]. Smart car, 2019.
[4]	丁鹏，郭雷，王升铎. 露天矿开拓运输系统的优化[J]. 矿业装备，2014(7)：104-106.Ding P, Guo L, Wang S D. Optimization of open-pit mine transportation system[J]. Mining equipment, 2014(7): 104-106.
[5]	张彩杰. 露天矿山运输系统风险分析及路径优化研究[D]. 广州，华南理工大学，2016.Zhang C J. Research on Risk Analysis and Route Optimization of Open-pit Mine Transportation System[D]. Guangzhou, South China University of Technology, 2016.
[6]	BRUNDRETT S. Industry Analysis of Autonomous Mine Haul TruckCommercialization[D]. British Columbia, Canada: Simon Fraser University, 2014.
[7]	NEBOT E M. Surface mining: main research issue for autonomous operations[C]//Robotics Research.Berlin,Herlin,Heidelberg:Springer,2007: 268-280.
[8]	FISHER BS, SCHNITTGER S. Autonomous and remote operation technologies in the mining industry: Bebefit and costs[R]//BAE Report, 12 (2012), 2012.
[9]	SAE International.Automated driving: Levels of driving automation are defined in new SAE International standard J3016[EB/OL]. (2014-07-18)[2019-02-02].https://www.oemoffhighway.com/electronics/smart-systems/automated-systems/document/12183694/automateddriving-levels-of-driving-automationare-defined-in-newsae-internationalstandard-j3016.
[10]	Komatsu Ltd. Komatsu celebrates 10th anniversary of commercial deployment of Autonomous Haulage System[EB/OL]. (2018-01-29)[2019-02-02]. https://home.komatsu/en/press/2018/others/1198705_1831.html.
[11]	Caterpillar Inc.The Caterpillar journey to autonomous mining: Following a building-block approach[EB/OL]. [2019-02-02]. http://viewpointmining.com/article/the-caterpillar-journey-to-autonomousmining.
[12]	Caterpillar Inc.Cat autonomous mining trucks haul one billion tones[EB/OL]. [2019-02-02]. https://www.cat.com/en_US/news/machine-press-releases/cat-autonomous-mining-trucks-haul-onebillion-tonnes.html.
[13]	王飞跃. 平行系统方法与复杂系统的管理和控制[J]. 控制与决策，2004 （05）.Wang F Y. Parallel system method and management and control of complex systems [J]. Control and decision, 2004(05).
[14]	王飞跃，刘德荣，熊刚，等. 复杂系统的平行控制理论及应用[J]. 复杂系统与复杂性科学，2012，9.Wang F Y, Liu D R, Xiong G, et al. Theory and Application of Parallel Control for Complex Systems [J]. Complex Systems and Complexity Science, 2012, 9.
[15]	陈龙，宇文旋，曹东璞，等. 平行无人系统[J]. 无人系统技术，2018,1(01):23-37.Chen L, Yu W X, Cao D P, et al. Parallel unmanned system [J]. Unmanned System Technology, 2018, 1 (01): 23-37.
[16]	王晓，要婷婷，韩双双，曹东璞，等. 平行车联网：基于ACP的智能车网联管理与控制[J]. 自动化学报，2018，8.Wang X, Yao T T, Han S S, et, al. Parallel Vehicle Networking: IntelligentVehicle Network Management and Control Based on ACP [J]. Journal ofAutomation, 2018, 8.
[17]	王坤峰，苟超，王飞跃. 平行视觉：基于ACP的智能视觉计算方法. 自动化学报，2016,42(10)：1490-1500.Wang K F, Gou C, Wang F Y. Parallel vision: an ACP-based approach to intellgent vision computing. Acta Automation Sinica, 2016,42(10):1490-1500.
[18]	孟祥冰，王蓉，张梅，等. 平行感知：ACP理论在视觉SLAM技术中的应用. 指挥与控制学报，2017,3(4):350-358.Meng X B, Wang R, Zhang M, et al. Parallel perception: an ACP-based approach to visiual SLAM. Journal of Command and Cintorl, 2017,3(4):350-358.
[19]	ZHU H, YUEN K V, MIHAYLOVA L, et al. Overview of environment perception for intelligent vehicles［J］. IEEE Transactions on Intelligent Transportation Systems, 2017, 18(10)：2584-2601
[20]	EL FAOUZI N E, LEUNG H, KURIAN A. Data fusion in intelligent transportation systems: Progress and challenges–A survey[J]. Information Fusion, 2011, 12(1): 4-10.
[21]	刘志峰，王建强，李克强. 具有鲁棒特性的车载雷达有效目标确定方法[J]. 清华大学学报 ( 自然科学版 )，2008，48(5).Liu Z F, Wang J Q, Li K Q. Effective target determination method for vehicle radar with robust characteristics [J]. Journal of Tsinghua University (Science and Technology), 2008, 48 (5).
[22]	WU B C, WAN A, YUE X Y, et al. Squeezeseg: Convolutional neural nets with recurrent CRF for real-time road-object segmentation from 3d lidar point cloud［C］//IEEE. 2018 IEEE International Conference on Robotics and Automation (ICRA).Brisbane：IEEE, 2018：1887-1893.
[23]	郑炳坤，赖乙宗，叶峰. 磁导航AGV控制系统的设计与实现[J]. 自动化与仪表(3)：12-16.Zheng B K, Lai Y Z, Ye F. Design and implementation of magnetic navigation AGV control system [J]. Automation and Instrumentation (3): 12-16.
[24]	马庆禄，马丹，李泽慧，等. 车辆定位于导航技术[M]. 长沙：中南大学出版社，2014.Ma Q L, Ma D, Li Z H, et al. Vehicles are positioned in navigation technology [M]. Changsha: Central South University Press, 2014
[25]	Arno Lindner, Anna Brand. Global Positioning System–Determined and Stopwatch-Determined Running Speeds of Horses Differ[J]. Journal of Equine Veterinary Science,2020,84.
[26]	何友，王国宏，陆大紟，等. 多传感器信息融合及应用[M]. 电子工业出版社，2007.He Y, Wang G H, Lu D Z, et al. Multi-sensor information fusion and application [M]. Electronic Industry Press, 2007.
[27]	靳晓栋. 惯导与卫星导航系统融合定位关键技术研究[D]. 河北科技大学，2018.Jin X D. Research on the key technologies of inertial navigation and satellite navigation system fusion positioning [D]. Hebei University of Science and Technology, 2018.
[28]	陈晓冬，张佳琛，庞伟松，等. 智能驾驶车载激光雷达关键技术与应用算法[J]. 光电工程，2019，07.Chen X D, Zhang J C, Pang W S, et al. Key technologies and application algorithms of intelligent driving vehicle lidar [J]. Optoelectronic Engineering, 2019, 07.
[29]	刘经南，吴杭彬，郭迟，等. 高精度道路导航地图的进展与思考[J]. 中国工程科学，2018, 20(2):107-113.Liu J N, Wu H B, Guo C, et al. Progress and reflection on high-precision road navigation maps [J]. China Engineering Science, 2018, 20 (2): 107-113.
[30]	陈斌，裴晓飞，雷佳鑫. 智能汽车双毫米波雷达信息融合研究[C]// 2018中国汽车工程学会年会. Chen B, Pei X F, Lei J X. Research on information fusion of dual-millimeter wave radar for smart cars [C] // 2018 China Automotive Engineering Society Annual Conference.
[31]	方强. 基于多视图几何的视觉辅助惯导组合导航关键技术研究[D]. 国防科学技术大学，2013.Fang Q. Research on the key technologies of visually assisted inertial navigation integrated navigation based on multi-view geometry [D].National University of Defense Technology, 2013.
[32]	A. Martinelli. Closed-form solution of visual-inertial structure frommotion[J]. International Journal of Computer Vision, vol.106, no.2, 2014:138-152.
[33]	LV T, ZHAO C, XIA P. Global path planning based on simultaneous visibility graph construction and A* algorithm[J]. Journal of Nanjing University of Science & Technology, 2017, 41(3):313-321.
[34]	陈佳佳. 城市环境下无人驾驶车辆决策系统研究[D]。合肥：中国科学技术大学，2014.Chen J J. Research on decision-making system of driverless vehicle in urban environment [D]. Hefei: University of Science and Technology of China, 2014.
[35]	KISHIMOTO Y, OGURI K. A modeling method for predicting driving behavior concerning with driver’ s past movements[C]//IEEE International Conference on Vehicular Electronics & Safety，2008.
[36]	郭景华，李克强，罗禹贡. 智能车辆运动控制研究综述[J]. 汽车安全与节能学报，2016，7(2):151-159.Guo J H, Li K Q, Luo Y G. Review of Research on Intelligent Vehicle Motion Control [J]. Journal of Automotive Safety and Energy, 2016, 7 (2): 151-159.

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