从有路导航走向无路导航

doi:10.6046/zrzyyg.2023198

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摘要

在有路导航日臻成熟的背景下,该文结合车辆在复杂非结构化环境下对导航服务的需求,提出了无路导航这一多学科交叉研究方向。首先,介绍了有路导航的发展及无路导航的需求场景,基于车辆通过性的4个具体方面,提出了从有路导航走向无路导航过程中的科学问题,包括地理-地质通行要素精细化遥感探测、无路区域软地面土壤参数遥感获取、天候变化对地面特性的定量影响机理,阐明了无路导航的研究导向; 然后,归纳了车辆通过性计算与表征技术、无路区域数字路网构建技术、无路导航智能路径规划技术等关键技术,提出了“无路区域有路化”的技术途径与无路区域数字路网的概念,构建了无路导航技术体系; 最后,结合无路导航相关技术的实践,展现了其应用潜力。无路导航的研究将进一步丰富导航的内涵,拓宽导航应用边界。

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关键词 ：无路导航, 导航电子地图, 通过性, 数字路网, 无路区域有路化

Abstract：

In the context of the growing maturity of on-road navigation, this study proposed a cross-disciplinary research direction-off-road navigation-based on the demands for navigation services in complex and unstructured environments. First, the development of on-road navigation and the demand scenarios of off-road navigation were introduced. Based on four specific aspects of vehicle trafficability, scientific issues in the transition from on-road to off-road navigation were presented, including refining remote sensing detection of geographical and geological trafficability elements, remote sensing-based retrieval of soft soil parameters in off-road areas, and quantitative mechanisms behind the impacts of climatic change on ground characteristics. Accordingly, the research direction of off-road navigation was clarified. Then, key technologies like vehicle trafficability calculation and characterization, digital road network construction in off-road areas, and intelligent path planning for off-road navigation were summarized. The technical approach of roadization for off-road areas and the concept of a digital road network for off-road areas were introduced, followed by the establishment of a comprehensive technology system for off-road navigation. Finally, in combination with practical applications, the potential of off-road navigation was confirmed. Research on off-road navigation will further enrich the connotation of navigation and expand its application boundaries.

Key words： off-road navigation electronic navigation map trafficability digital road network roadization for an off-road area

收稿日期: 2023-07-03 出版日期: 2024-12-23

ZTFLH:	P23
	TP79

通讯作者: 朱春阳(1995-),男,博士研究生,主要研究方向为摄影测量与遥感。Email: chunyangzhu@whu.edu.cn。

作者简介: 张过(1976-),男,教授,主要研究方向为几何定量遥感。Email: guozhang@whu.edu.cn。

引用本文:

张过, 秦绪文, 朱春阳, 王善绣, 徐青, 运晓宇. 从有路导航走向无路导航[J]. 自然资源遥感, 2024, 36(4): 1-8.
ZHANG Guo, QIN Xuwen, ZHU Chunyang, WANG Shanxiu, XU Qing, YUN Xiaoyu. Navigation: From on-road to off-road. Remote Sensing for Natural Resources, 2024, 36(4): 1-8.

链接本文:

https://www.gtzyyg.com/CN/10.6046/zrzyyg.2023198 或 https://www.gtzyyg.com/CN/Y2024/V36/I4/1

Fig.1 NG-NRMM建设内容

Fig.2 基于Bekker&Janosi-Hanamoto模型的数值模拟

Fig.3 数字路网基础路网结构构建技术路线

[1]	王之卓. 瞻望测绘学科的发展前景——纪念《测绘学报》创刊三十周年[J]. 测绘学报, 1987, 16(2):83-85.
	Wang Z Z. Looking forward to the development prospect of Surveying and Mapping—Commemorating the 30th anniversary of the publication of Journal of Surveying and Mapping[J]. Acta Geodaetica et Cartographic Sinica, 1987, 16(2):83-85.
[2]	李德仁, 洪勇, 王密, 等. 测绘遥感能为智能驾驶做什么?[J]. 测绘学报, 2021, 50(11):1421-1431. doi: 10.11947/j.AGCS.2021.20210280
	Li D R, Hong Y, Wang M, et al. What can surveying and remote sensing do for intelligent driving?[J]. Acta Geodaetica et Cartographica Sinica, 2021, 50(11):1421-1431. doi: 10.11947/j.AGCS.2021.20210280
[3]	Liu R, Wang J, Zhang B. High definition map for automated driving:Overview and analysis[J]. Journal of Navigation, 2020, 73(2):324-341.
[4]	余卓渊, 闾国年, 张夕宁, 等. 全息高精度导航地图:概念及理论模型[J]. 地球信息科学学报, 2020, 22(4):760-771. doi: 10.12082/dqxxkx.2020.190648
	Yu Z Y, lyu G N, Zhang X N, et al. Pan-information-based high precision navigation map:Concept and theoretical model[J]. Journal of Geo-Information Science, 2020, 22(4):760-771.
[5]	张攀, 刘经南. 通用化高精地图数据模型[J]. 测绘学报, 2021, 50(11):1432-1446. doi: 10.11947/j.AGCS.2021.20210254
	Zhang P, Liu J N. A generalized data model of high definition maps[J]. Acta Geodaetica et Cartographica Sinica, 2021, 50(11):1432-1446. doi: 10.11947/j.AGCS.2021.20210254
[6]	Ibisch P L, Hoffmann M T, Kreft S, et al. A global map of roadless areas and their conservation status[J]. Science, 2016, 354(6318):1423-1427. pmid: 27980208
[7]	Jayakumar P, Gorsich D, Hudson C, et al. Quantitative assessment of modelling and simulation tools for autonomous navigation of military vehicles over off-road terrains[J]. International Journal of Vehicle Performance, 2020, 6(3):327.
[8]	于海波, 吴必虎. 国外自驾游研究进展[J]. 旅游学刊, 2011, 26(3):55-61.
	Yu H B, Wu B H. Progress about the study of overseas self-driving travel[J]. Tourism Tribune, 2011, 26(3):55-61.
[9]	Ort T, Paull L, Rus D. Autonomous vehicle navigation in rural environments without detailed prior maps[C]// 2018 IEEE International Conference on Robotics and Automation (ICRA).Brisbane,QLD,Australia.IEEE, 2018:2040-2047.
[10]	刁增祥, 余建星. 军用车辆的机动性等级和模型[J]. 汽车工程, 2005, 27(3):354-357.
	Diao Z X, Yu J X. Mobility grade and model of military vehicles[J]. Automotive Engineering, 2005, 27(3):354-357.
[11]	余志生. 汽车理论[M]. 北京: 机械工业出版社, 2019.
	Yu Z S. Automobile theory[M]. Beijing: China Machine Press, 2019.
[12]	Rada J, Rybansky M, Dohnal F. The impact of the accuracy of terrain surface data on the navigation of off-road vehicles[J]. ISPRS International Journal of Geo-Information, 2021, 10(3):106.
[13]	孙昂, 杨清华, 刘智, 等. 西里古里走廊地区道路交通:分布特征、通行能力与地质环境[J]. 自然资源遥感, 2021, 33(3):138-147.doi:10.6046/zrzyyg.2020421.
	Sun A, Yang Q H, Liu Z, et al. Transportation in the Siliguri Corridor,West Bengal,India:Distribution characteristics,trafficability,and geological environment[J]. Remote Sensing for Natural Resources, 2021, 33(3):138-147.doi:10.6046/zrzyyg.2020421.
[14]	李德仁, 张过, 蒋永华, 等. 论大数据视角下的地球空间信息学的机遇与挑战[J]. 大数据, 2022, 8(2):3-14. doi: 10.11959/j.issn.2096-0271.2022012
	Li D R, Zhang G, Jiang Y H, et al. Opportunities and challenges of geo-spatial information science from the perspective of big data[J]. Big Data Research, 2022, 8(2):3-14.
[15]	冯权泷, 牛博文, 朱德海, 等. 土地利用/覆被深度学习遥感分类研究综述[J]. 农业机械学报, 2022, 53(3):1-17.
	Feng Q L, Niu B W, Zhu D H, et al. Review for deep learning in land use and land cover remote sensing classification[J]. Transactions of the Chinese Society for Agricultural Machinery, 2022, 53(3):1-17.
[16]	康晋洁, 戚浩平, 杨清华, 等. 道路通行障碍物遥感检测与通过性评价[J]. 国土资源遥感, 2020, 32(2):94-102.doi:10.6046/gtzyyg.2020.02.13.
	Kang J J, Qi H P, Yang Q H, et al. Study of remote sensing detection method for road obstacle and accessibility evaluation[J]. Remote Sensing for Land and Resources, 2020, 32(2):94-102.doi:10.6046/gtzyyg.2020.02.13.
[17]	郑雄伟, 彭孛, 尚坤. 基于国产卫星的遥感地质解译能力评估[J]. 自然资源遥感, 2021, 33(3):1-10.doi:10.6046/zrzyyg.2020357.
	Zheng X W, Peng B, Shang K. Assessment of the interpretation ability of domestic satellites in geological remote sensing[J]. Remote Sensing for Natural Resources, 2021, 33(3):1-10.doi:10.6046/zrzyyg.2020357.
[18]	梁茜亚, 王卷乐, 李朋飞, 等. 基于GF-1影像的蒙古高原干旱半干旱地区自然道路提取——以蒙古国古尔班特斯苏木为例[J]. 自然资源遥感, 2023, 35(2):122-131.doi:10.6046/zrzyyg.2022117.
	Liang X Y, Wang J L, Li P F, et al. GF-1 images-based information extraction of natural roads in arid and semi-arid regions of the Mongolian Plateau:A case study of Gurvantes Soum,Mongolia[J]. Remote Sensing for Natural Resources, 2023, 35(2):122-131.doi:10.6046/zrzyyg.2022117.
[19]	陈富强, 刘亚林, 高旭, 等. 遥感技术在中尼铁路工程地质勘察中的应用[J]. 自然资源遥感, 2021, 33(4):219-226.doi:10.6046/zrzyyg.2020403.
	Chen F Q, Liu Y L, Gao X, et al. Application of remote sensing technology to the engineering geological survey for the construction of the China-Nepal railway[J]. Remote Sensing for Natural Resources, 2021, 33(4):219-226.doi:10.6046/zrzyyg.2020403.
[20]	辛荣芳, 李宗仁, 张焜, 等. 青海省湟水流域地质灾害动态变化遥感监测[J]. 自然资源遥感, 2022, 34(4):254-261.doi:10.6046/zrzyyg.2021313.
	Xin R F, Li Z R, Zhang K, et al. Remote sensing monitoring of the dynamic changes in geologic hazards in the Huangshui River Basin of Qinghai Province[J]. Remote Sensing for Natural Resources, 2022, 34(4):254-261.doi:10.6046/zrzyyg.2021313.
[21]	王绚, 范宣梅, 杨帆, 等. 植被茂密山区地质灾害遥感解译方法研究[J]. 武汉大学学报(信息科学版), 2020, 45(11):1771-1781.
	Wang X, Fan X M, Yang F, et al. Remote sensing interpretation method of geological hazards in lush mountainous area[J]. Geomatics and Information Science of Wuhan University, 2020, 45(11):1771-1781.
[22]	Wong J Y. Theory of ground vehicles[M]. Hoboken: Wiley, 2022.
[23]	李坤伟, 游雄, 张欣, 等. 基于多源数据的土壤越野通行性评估[J]. 测绘科学技术学报, 2018, 35(2):206-210.
	Li K W, You X, Zhang X, et al. Evaluation of soil trafficability based on multi-source data[J]. Journal of Geomatics Science and Technology, 2018, 35(2):206-210.
[24]	艾璐, 孙淑怡, 李书光, 等. 光学与SAR遥感协同反演土壤水分研究进展[J]. 自然资源遥感, 2021, 33(4):10-18.doi:10.6046/zrzyyg.2020416.
	Ai L, Sun S Y, Li S G, et al. Research progress on the cooperative inversion of soil moisture using optical and SAR remote sensing[J]. Remote Sensing for Natural Resources, 2021, 33(4):10-18.doi:10.6046/zrzyyg.2020416.
[25]	Ewing J, Oommen T, Jayakumar P, et al. Utilizing hyperspectral remote sensing for soil gradation[J]. Remote Sensing, 2020, 12(20):3312.
[26]	Bousbih S, Zribi M, Pelletier C, et al. Soil texture estimation using radar and optical data from sentinel-1 and sentinel-2[J]. Remote Sensing, 2019, 11(13):1520.
[27]	蒋玲梅, 崔慧珍, 王功雪, 等. 积雪、土壤冻融与土壤水分遥感监测研究进展[J]. 遥感技术与应用, 2020, 35(6):1237-1262. doi: 10.11873/j.issn.1004-0323.2020.6.1237
	Jiang L M, Cui H Z, Wang G X, et al. Progress on remote sensing of snow,surface soil frozen/thaw state and soil moisture[J]. Remote Sensing Technology and Application, 2020, 35(6):1237-1262.
[28]	Zhang T, Barry R G, Knowles K, et al. Statistics and characteristics of permafrost and ground-ice distribution in the Northern Hemisphere[J]. Polar Geography, 2008, 31(1/2):47-68.
[29]	姚禹, 王博, 高智. 履带-地面耦合系统机理分析与建模[J]. 长春工业大学学报, 2018, 39(6):528-533,633.
	Yao Y, Wang B, Gao Z. Mechanism analysis and modeling of track-soil coupling system[J]. Journal of Changchun University of Technology, 2018, 39(6):528-533,633.
[30]	陈鼎. 基于地面分形特性的轮地相互作用机理研究及其应用[D]. 厦门: 厦门大学, 2019.
	Chen D. Research and application of tire-soil interaction mechanism based on soil fractal characteristics[D]. Xiamen: Xiamen University, 2019.
[31]	华琛, 牛润新, 余彪. 地面车辆机动性评估方法与应用[J]. 吉林大学学报(工学版), 2022, 52(6):1229-1244.
	Hua C, Niu R X, Yu B. Methods and applications of ground vehicle mobility evaluation[J]. Journal of Jilin University (Engineering and Technology Edition), 2022, 52(6):1229-1244.
[32]	邵芸, 张茗, 谢酬. 地质灾害遥感综合监测现状与展望[J]. 地质与资源, 2022, 31(3):381-394.
	Shao Y, Zhang M, Xie C. Present situation and prospect of comprehensive monitoring in geological hazard by remote sensing[J]. Geology and Resources, 2022, 31(3):381-394.
[33]	许强. 对地质灾害隐患早期识别相关问题的认识与思考[J]. 武汉大学学报(信息科学版), 2020, 45(11):1651-1659.
	Xu Q. Understanding and consideration of related issues in early identification of potential geohazards[J]. Geomatics and Information Science of Wuhan University, 2020, 45(11):1651-1659.
[34]	高扬骏, 李广云, 吕志伟. 卫星导航干扰技术的现状及展望[J]. 测绘与空间地理信息, 2022, 45(6):13-18.
	Gao Y J, Li G Y, Lyu Z W. Current situation and prospect of satellite navigation interference technology[J]. Geomatics & Spatial Information Technology, 2022, 45(6):13-18.
[35]	王君, 郭妍, 唐康华, 等. 卫星导航欺骗式干扰技术发展趋势综述[J]. 导航与控制, 2022, 21(1):13-24. doi: 10.3969/j.issn.1674-5558.2022.01.002
	Wang J, Guo Y, Tang K H, et al. Development trend of spoofing jamming technology for satellite navigation[J]. Navigation and Control, 2022, 21(1):13-24. doi: 10.3969/j.issn.1674-5558.2022.01.002
[36]	黄龙, 唐小妹, 王飞雪. 卫星导航接收机抗欺骗干扰方法研究[J]. 武汉大学学报(信息科学版), 2011, 36(11):1344-1347.
	Huang L, Tang X M, Wang F X. Anti-spoofing techniques for GNSS receiver[J]. Geomatics and Information Science of Wuhan University, 2011, 36(11):1344-1347.
[37]	Babapour R, Naghdi R, Ghajar I, et al. Forest road profile optimization using meta-heuristic techniques[J]. Applied Soft Computing, 2018, 64:126-137.
[38]	Casal G, Santamarina D, Vázquez-Méndez M E. Optimization of horizontal alignment geometry in road design and reconstruction[J]. Transportation Research Part C:Emerging Technologies, 2017, 74:261-274.
[39]	Park J, Abdel-Aty M. Safety performance of combinations of traffic and roadway cross-sectional design elements at straight and curved segments[J]. Journal of Transportation Engineering,Part A:Systems, 2017, 143(6):04017015.
[40]	霍凤财, 迟金, 黄梓健, 等. 移动机器人路径规划算法综述[J]. 吉林大学学报(信息科学版), 2018, 36(6):639-647.
	Huo F C, Chi J, Huang Z J, et al. Review of path planning for mobile robots[J]. Journal of Jilin University (Information Science Edition), 2018, 36(6):639-647.
[41]	李晓旭, 马兴录, 王先鹏. 移动机器人路径规划算法综述[J]. 计算机测量与控制, 2022, 30(7):9-19.
	Li X X, Ma X L, Wang X P. A survey of path planning algorithms for mobile robots[J]. Computer Measurement & Control, 2022, 30(7):9-19.
[42]	闫皎洁, 张锲石, 胡希平. 基于强化学习的路径规划技术综述[J]. 计算机工程, 2021, 47(10):16-25. doi: 10.19678/j.issn.1000-3428.0060683
	Yan J J, Zhang Q S, Hu X P. Review of path planning techniques based on reinforcement learning[J]. Computer Engineering, 2021, 47(10):16-25. doi: 10.19678/j.issn.1000-3428.0060683
[43]	Cook J T, Ray L E, Lever J H. Dynamics modeling and robotic-assist,leader-follower control of tractor convoys[J]. Journal of Terramechanics, 2018, 75:57-72.
[44]	Godoy J, Artuñedo A, Beteta M, et al. Corridors-based navigation for automated vehicles convoy in off-road environments[J]. IFAC-PapersOnLine, 2022, 55(14):71-76.
[45]	Mao W, Liu Z, Liu H, et al. Research progress on synergistic technologies of agricultural multi-robots[J]. Applied Sciences, 2021, 11(4):1448.
[46]	Haley P W, Jurkat M P, Brady Jr P M, et al. NATO reference mobility model,Edition 1,Users guide.Volume 2.Obstacle Module[R].(1979).
[47]	Bradbury M, Dasch J, Gonzalez R, et al. Next-generation NATO reference mobility model (NG-NRMM)[J]. Tank Automotive Research,Development and Engineering Center (TARDEC),Warren,MI, 2016.
[48]	Wong J Y, Jayakumar P, Toma E, et al. A review of mobility metrics for next generation vehicle mobility models[J]. Journal of Terramechanics, 2020, 87:11-20. doi: 10.1016/j.jterra.2019.10.003
[49]	McCullough M, Jayakumar P, Dasch J, et al. The Next Generation NATO Reference mobility model development[J]. Journal of Terramechanics, 2017, 73:49-60.
[50]	Wasfy T, Jayakumar P. Next-generation NATO reference mobility model complex terramechanics-part 1:Definition and literature review[J]. Journal of Terramechanics, 2021, 96:45-57.

[1]	康晋洁, 戚浩平, 杨清华, 陈华. 道路通行障碍物遥感检测与通过性评价[J]. 国土资源遥感, 2020, 32(2): 94-102.

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