期刊文献+

矿用无人驾驶车辆车载计算单元硬件在环仿真测试研究 被引量:3

Research on hardware-in-the-loop simulation test of on-board computing unit of mine unmanned vehicle
下载PDF
导出
摘要 矿用车辆无人驾驶技术是实现智能矿山无人化运输的关键技术,车载计算单元又是矿用无人驾驶车辆的核心,接入传感器及控制器后,车载计算单元通过无人驾驶算法输出控制指令控制车辆行驶。针对车载计算单元进行实车测试验证存在的成本高、难度大、效率低、安全无保障等问题,研究了一种硬件在环仿真系统。介绍了该仿真系统的结构及其功能,详细阐述了对车载计算单元主要接入的GPS、激光雷达、毫米波雷达、视觉传感器等硬件设备以及矿车线控系统进行的仿真测试,并对自动/人工驾驶切换与仿真报告生成进行了说明。通过在白云鄂博矿区场景下对矿用无人驾驶车辆进行装载运输卸载过程的仿真测试,验证了车载计算单元的命令执行、车辆行驶决策规划、控制逻辑等的正确性与稳定性,同时也验证了仿真系统的有效性与可应用性。 Mine vehicle driverless technology is the key technology to realize the unmanned transportation of intelligent mine,and the on-board computing unit is the core of mine unmanned vehicle,through the connected sensors and controllers,the on-board computing unit outputs control instructions through driverless algorithm to control the vehicle.Aiming at the problems of high cost,difficulty,low efficiency and lack of safety guarantee in the real vehicle test and verification of on-board computing unit,a hardware-in-the-loop simulation system was studied.The structure and function of the simulation system were introduced,the simulation tests of GPS,lidar,millimeter wave radar,vision sensor and other hardware equipment mainly connected to the on-board computing unit and the mine car wire control system were described in detail,the automatic/manual driving switching and the generation of simulation report were described.Through the simulation test of the loading-transportation-unloading process of mine unmanned vehicles in the scene of Bayan Obo mining area,the correctness and stability of the command execution,vehicle driving decision planning and control logic of on-board computing unit were verified,and the effectiveness and applicability of the simulation system were also verified.
作者 倪浩原 徐国艳 王京伟 张海福 丁红 NI Haoyuan;XU Guoyan;WANG Jingwei;ZHANG Haifu;DING Hong(School of Transportation Science and Engineering,Beihang University,Haidian,Beijing 100191,China;Key Laboratory of Autonomous Transportation Technology for Special Vehicles,Ministry of Industry and Information Technology,Haidian,Beijing 100191,China;Inner Mongolia Huolinhe Open-pit Coal Industry Co.,Ltd.,Tongliao,Inner Mongolia 028001,China)
出处 《中国煤炭》 2022年第1期53-62,共10页 China Coal
基金 国家重点研发计划(2020YFB1600302) 国家自然科学基金面上基金(51775016)。
关键词 智能矿山 矿用无人驾驶车辆 车载计算单元 硬件在环仿真系统 算法性能测试 intelligent mine mine unmanned vehicle on-board computing unit hardware-in-the-loop simulation system algorithm performance test
  • 相关文献

参考文献8

二级参考文献56

  • 1马莹,李克强,高峰,郭磊,连小珉.改进的有限时间最优预瞄横向控制器设计[J].汽车工程,2006,28(5):433-438. 被引量:30
  • 2郑宏宇,宗长富,田承伟,朱天军,董义亮,袁登木.基于理想转向传动比的汽车线控转向控制算法[J].吉林大学学报(工学版),2007,37(6):1229-1235. 被引量:40
  • 3公安部交通管理局.中华人民共和国道路交通事故统计年报(2012年度)[M].北京:人民交通出版社,2013:6-8.
  • 4Treat J R, Tumbas N S, Mcdonald S T, et al. Tri-level study of the causes of traffic accidents, executive summary [R]. No. DOTHS034353579TAC (5) Final Report, 1979.
  • 5Fell J C, Hendricks D L, Freedman M. The relative frequency of unsafe driving acts in serious traffic crashes [C]//Proc 44th Annu Conf Assoc Adva Automotive Medicine, Chicago, Illinois, USA, Oct 2-4, 2000.
  • 6Brookhuis K A, De Waard D, Janssen W H. Behavioural impacts of advanced driver assistance systems-an overview [J]. Euro J Transport and Infrastructure Research, 2001, 1(3): 245-253.
  • 7Young S K, Eberhard C A, Moffa P J. Development of performance specifications for collision avoidance systems for lane change, merging and backing, Task 2 interim report, functional goals establishment [R]. US Department of Transportation, National Highway Traffic Safety Administration. No. HS-808 432. 1995.
  • 8Seewald A, Hal3 C, Keller M. Emergency steering assist for collision avoidance [J]. Automobiltechnische Zeitschrifl worldwide, 2015, 117(1): 14-19.
  • 9Eckert A, Hartmann B, Sevenich M, et al. Emergency steer & brake assist: A systematic approach for system integration of two complementary driver assistance systems [C]//Proc 22nd Int'l Teeh Conf Enhan Safety of Vehi, Washington DC, USA. 2011.
  • 10Hayashi R, Isogai J, Raksincharoensak P, et al. Autonomous collision avoidance system by combined control of steering and braking using geometrically optimized vehicular trajectory [J]. Vehi Syst Dynamics, 2012, 50(S1): 151-168.

共引文献149

同被引文献32

引证文献3

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部