[1] 廖克. 陈述彭院士的光辉业绩与学术思想永存——纪念陈述彭院士逝世一周年[J]. 地球信息科学学报, 2009,11(6):691-694. [ LiaoK. Academician Chen Shupeng's brilliant achievements and academic thoughts will last forever—Commemoration of the first anniversary of academician Chen Shupeng's death[J]. Journal of Geo-information Science, 2009,11(6):691-694. ] [ Liao K.Academician Chen Shupeng's brilliant achievements and academic thoughts will last forever—Commemoration of the first anniversary of academician Chen Shupeng's death[J]. Journal of Geo-information Science,2009,11(6):691-694. ]
[2] 陈述彭, 岳天祥, 励惠国. 地学信息图谱研究及其应用[J]. 地理研究, 2000,19(4):337-343. [ ChenS P, YueT X, LiH G. Studies on geo-informatic tupu and its application[J]. Geographical Research, 2000,19(4):337-343. ] [ Chen S P, Yue T X, Li H G. Studies on geo-informatic tupu and its application[J]. Geographical Research, 2000,19(4):337-343. ]
[3] 陈述彭. 历史轨迹与知识创新[J]. 地理学报, 2001,56(7s):1-7. [ ChenS P. Along the historcal way up to knowledge innovation[J]. Acta Geographica Sinica, 2001,56(7s):1-7. ] [ Chen S P. Along the historcal way up to knowledge innovation[J]. Acta Geographica Sinica, 2001,56(7s):1-7. ]
[4] 张攀, 朱敦尧. 车载导航地图服务发展探讨[J]. 交通信息与安全, 2013,31(5):127-130. [ ZhangP, ZhuD Y. Development of car navigation map service[J]. Journal of Transport Information and Safety, 2013,31(5):127-130. ] [ Zhang P, Zhu D Y. Development of car navigation map service[J].Journal of Transport Information and Safety, 2013,31(5):127-130. ]
[5] 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):99-105. [ LiuJ N, WuH B, GuoC, et al. Progress and consideration of high precision road navigation map[J]. Engineering Science, 2018,20(2):99-105. ] [ Liu J N, Wu H B, Guo C, et al. Progress and consideration of high precision road navigation map[J]. Engineering Science, 2018,20(2):99-105. ]
[6] et alMapping and localization using GPS, lane markings and proprioceptive sensors[C]. Tokyo: Intelligent Robots and Systems (IROS),2013 IEEE/RSJ Interna-tional Conference on IEEE, 406-412(2013).
[7] et alAn autonomous driving system for unknown environments using a unified map[J]. IEEE Transactions on Intelligent Transportation Systems, 16, 1999-2013(2015).
[8] Autonomous driving in the iCity-HD maps as a key challenge of the automotive Industry[J]. Engineering, 2, 159-162(2016).
[9] 曾妮红, 岳迎春, 黄迟. 融合机载雷达和航空正射影像的道路提取[J]. 测绘科学, 2016,41(5):96-100. [ ZengN H, YueY C, HuangC. Fusion of airborne LiDAR and aerial DOM for road extraction[J]. Science of Surveying and Mapping, 2016,41(5):96-100. ] [ Zeng N H, Yue Y C, Huang C. Fusion of airborne LiDAR and aerial DOM for road extraction[J]. Science of Surveying and Mapping, 2016,41(5):96-100. ]
[10] 李鑫慧, 郭蓬, 戎辉, 等. 高精度地图技术研究现状及其应用[J]. 汽车电器, 2019(6):1-3. [ LiX H, GuoP, RongH, et al. Research status and application of high precision map technology[J]. Auto Electric Parts, 2019(6):1-3. ] [ Li X H, Guo P, Rong H, et al. Research status and application of high precision map technology[J]. Auto Electric Parts, 2019(6):1-3. ]
[11] Laneloc: Lane marking based localization using highly accurate maps[J]. IEEE Xplore, 36, 449-454(2013).
[12] High definition map construction for autonomous vehicle based on 3D LiDAR. Changchun: Jilin University(2019).
[13] Research on high precision map optimization and localization for autonomous driving. Lanzhou: Lanzhou University(2019).
[14] et alObject Detection in terrestrial laser scanning point clouds based on hough forest[J]. IEEE Geoscience and Remote Sensing Letters, 11, 1807-1811(2014).
[15] Generation of a precise roadway map for autonomous cars[J]. IEEE Transactions on Intelligent Transportation Systems, 15, 925-937(2014).
[16] et alLane-level road network generation techniques for lane-level maps of autonomous vehicles: asurvey[J]. Sustainability, 11, 4511(2019).
[17] Road curvature estimation method for high precision navigation map data. Beijing: Beijing University of Civil Engineering and Architecture(2018).
[18] 周勇, 刘尚魁. 构建基于Appollo的高精度地图解决方案[J]. 电子技术与软件工程, 2018(21):139. [ ZhouY, LiuS K. Building a high precision map solution based on Appollo[J]. Electronic Technology & Software Engineering, 2018(21):139. ] [ Zhou Y, Liu S K. Building a high precision map solution based on Appollo[J]. Electronic Technology & Software Engineering, 2018(21):139. ]
[19] 周成虎, 朱欣焰, 王蒙, 等. 全息位置地图研究[J]. 地理科学进展, 2011,30(11):1331-1335. [ ZhouC H, ZhuX Y, WangM, et al. Panoramic location-based map[J]. Progress in Geography, 2011,30(11):1331-1335. ] [ Zhou C H, Zhu X Y,Wang M, et al. Panoramic location-based map[J]. Progress in Geography, 2011,30(11):1331-1335. ]
[20] 齐清文, 姜莉莉, 张岸, 等. 全息地图构建与多重表达[J]. 测绘科学, 2018,43(7):7-14. [ QiQ W, JiangL L, Zhangan, et al. Modeling and multiple representation of holograpkic map[J]. Science of Surveying and Mapping, 2018,43(7):7-14. ] [ Qi Q W, Jiang L L, Zhang an,et al. Modeling and multiple representation of holograpkic map[J]. Science of Surveying and Mapping, 2018,43(7):7-14. ]
[21] 朱欣焰, 杨龙龙, 呙维, 等. 面向全息位置地图的室内空间本体建模[J]. 地理信息世界, 2015,22(2):1-7. [ ZhuX Y, YangL L, GuoW, et al. Ontology modeling of indoor space for the location-based pan-information map[J]. Geomatics World, 2015,22(2):1-7. ] [ Zhu X Y, Yang L L, Guo W, et al. Ontology modeling of indoor space for the location-based pan-information map[J]. Geomatics World, 2015,22(2):1-7. ]
[22] et alPan-information location map[C]. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, At Cape Town, South Africa(2013).
[23] 朱欣焰, 周成虎, 呙维, 等. 全息位置地图概念内涵及其关键技术初探[J]. 武汉大学学报·信息科学版, 2015,40(3):285-95. [ ZhuX Y, ZhouC H, GuoW, et al. Preliminary study on conception and key technologies of the location-based pan-information map[J]. Geomatics and Information Science of Wuhan University, 2015,40(3):285-95. ] [ Zhu X Y, Zhou C H, Guo W, et al. Preliminary study on conception and key technologies of the location-based pan-information map[J]. Geomatics and Information Science of Wuhan University, 2015,40(3):285-95. ]
[24] 闾国年, 袁林旺, 俞肇元. 地理学视角下测绘地理信息再透视[J]. 测绘学报, 2017,46(10):1549-1556. [ LvG N, YuanL W, YuZ Y. Surveying and mapping geographical information from the perspective of geography[J]. Acta Geodaetica et Cartographica Sinica, 2017,46(10):1549-1556. ] [ Lv G N, Yuan L W, Yu Z Y. Surveying and mapping geographical information from the perspective of geography[J]. Acta Geodaetica et Cartographica Sinica, 2017,46(10):1549-1556. ]
[25] 闾国年, 俞肇元, 袁林旺, 等. 地图学的未来是场景学吗?[J]. 地球信息科学学报, 2018,20(1):1-6. [ LvG N, YuZ Y, YuanL W, et al. Is the feature of cartography the scenario science?[J]. Journal of Geo-information Science, 2018,20(1):1-6. ] [ Lv G N, Yu Z Y, Yuan L W, et al. Is the feature of cartography the scenario science?[J]. Journal of Geo-information Science, 2018,20(1):1-6. ]
[26] 周成虎. 全空间地理信息系统展望[J]. 地理科学进展, 2015,34(2):129-131. [ ZhouC H. Prospects on pan-spatial information system[J]. Progress in Geography, 2015,34(2):129-131. ] [ Zhou C H. Prospects on pan-spatial information system[J]. Progress in Geography, 2015,34(2):129-131. ]
[27] 城市环境基于三维激光雷达的自动驾驶车辆多目标检测及跟踪算法研究[M]. 北京:北京理工大学(2016).
[28] 朱清海. 一种基于八叉树车载激光点云的杆式地物批量提取方法[J]. 测绘通报, 2019(S2):110-111,116. [ ZhuQ H. A batch extraction method of rod type objects based on octree vehicle-borne laser point cloud[J]. Bulletin of Surveying and Mapping, 2019(S2):110-111,116. ] [ Zhu Q H.A batch extraction method of rod type objects based on octree vehicle-borne laser point cloud[J]. Bulletin of Surveying and Mapping, 2019(S2):110-111,116. ]
[29] Vehicle Type Classification based on Improved HOG_SVM[P]. Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)(2019).
[30] 龚露鸣, 徐美华, 刘冬军, 等. 基于混合高斯和HOG+SVM的行人检测模型[J]. 上海大学学报(自然科学版), 2018,24(3):341-351. [ GongL M, XuM H, LiuD J, et al. Novel model of pedestrian detection based on Gaussian mixture model and HOG+SVM[J]. Journal of Shanghai University(Natural Science Edition), 2018,24(3):341-351. ] [ Gong L M, Xu M H, Liu D J, et al.Novel model of pedestrian detection based on Gaussian mixture model and HOG+SVM[J]. Journal of Shanghai University(Natural Science Edition), 2018,24(3):341-351. ]
[31] The study of abnormal sound recognition for security monitoring. Hunan Normal University(2015).
[32] . Urban Sound Environment(2011).
[33] 刘经南, 詹骄, 郭迟, 等. 智能高精地图数据逻辑结构与关键技术[J]. 测绘学报, 2019,48(8):939-953. [ LiuJ N, ZhanJ, GuoC, et al. Data logic structure and key technologies on intelligent high-precision map[J]. Acta Geodaetica et Cartographica Sinica, 2019,48(8):939-953. ] [ Liu J N, Zhan J, Guo C, et al. Data logic structure and key technologies on intelligent high-precision map[J]. Acta Geodaetica et Cartographica Sinica, 2019,48(8):939-953. ]