{“status”:“ok”,“message type”:“work”,“message version”:“1.0.0”,“message”:{“indexed”:{“date parts”:[[2024,3,7]],“date time”:“2024-03-07T12:52Z”,“timestamp”:1709815372024},“reference count”:26,“publisher”:“IEEE”,“license”:[{“start”:{“date parts”:[[2022,7,18]],“date time”:“2022-07-18T00:00:00Z”,“timestamp”:1658102400000},“content version”:“stm-asf”,“delay-in-days”:0,“URL”:“https:\/\/doi.org\/10.15223\/policy-029”},{“start”:{“date-parts”:[2022,7,18]],“date-time”:“2022-07-18T00:00:00Z”,“timestamp”:165810240000},“content-version”:“stm-asf”,“dellay-in-days”:0 er“:[{”doi“:”10.13039\/501100001809“,”name“:”NSFC“,”doi-asserted-by“:”publisher“,“奖励”:[“6197225072061127003”]}],“内容域”:{“域”:[],“交叉标记限制”:false},“短容器-标签”:[[],“发布-打印”:{-“日期-部件”:[[2022,7,18]]},”DOI“:”10.1109\/icme52920.2022.9859689“,”type“:”proceedings-article“,”created“:{”date-parts“:[2022,8,26]],”date-time“:”2022-08-26T19:45:18Z“,”时间戳“:1661543118000},”源“:“Crossref”,“is-referenced-by-count”:1,“title”:[“Opendenselane:A Dense Lidar-Based Dataset for HD Map Construction”],“prefix”:“10.1109”,”author“:[{”given“:”Xiaolei“,”family“:”Chen“,”sequence“:”first“,”affiliation“:[}”name“上海交通大学CSE&MoE人工智能重点实验室”}]},{“given”:“Wenlong”,“family”:“廖”,“sequence”:“additional”,“affiliation”:[{“name”:“上海交通大学CSE&MoE人工智能重点实验室”}]}:“Yan”,“sequence”:“additional”,“affiliation”:[{“name”:“上海交通大学CSE&MoE人工智能重点实验室”}]},{“given”:“Tao”,“family”:“He”,“serquence”:“additionable”,“fessiliation”:[{(名称):“安徽科瓦罗机器人股份有限公司”}]],“member”:“263”,“reference”:[[{”Key:“ref10”,“doi-asserted-by”:”publisher“,“doi”:“10.1109\\IVS.2017.79955848”},{“key”:“ref11”,“doi断言者”:“publisher”,“doi”:“10.3390\\electronics7110276”},{“key”:“ref12”,“doi断言者”:“publisher”,“doi”:“10.1109\\IV47402.2020.9304623”},{“key”:“ref13”,“doi断言者”:“publisher”,“doi”:“10.1109\\ACCESS.200.2993578”},{“key”:“ref14”,“doi由”:“publisher”,“doi”断言:“10.1109\/IROS40897.2019.8967762”},{“key”:“ref15”,“article-title”:“Pointnet++:度量空间中点集的深度分层特征学习”,“author”:“qi”,“year”:“2017”,“journal-title“:”NeurIPS“},”{“密钥”:“ref16”,“doi-asserted-by”:“publisher”,“doi”:“10.109\/CVPR42600.2020.00962”},{”key“:”ref17“,”article-title“:“Fusionlane:使用深度神经网络进行车道标记语义分割的多传感器融合”,“author”:“yin”,“year”:“2020”,“journal-title”:“IEEE TITS”},{“key”:“ref18”,“doi-asserted-by”:“publisher”,“doi”:“10.1109\/IROS.2018.8594388”}:“用于城市道路的基于混合器的激光雷达车道检测网络和数据集”},{“key”:“ref4”,“doi断言”:“publisher”,“doi”:“10.1109\/ITSC48978.2021.9564840”},{“key”:“ref3”,“文章标题”:“Hdnet:利用高清地图进行三维物体检测”,“author”:“yang”,“year”:“2018”,“journal title”:“CoRL”},{“key”:“ref6”,“author”:“jayasinghe”,“year”:“2021”,“journal-title”:“Swiftlane Towards fast and efficient lane detection”},{“key”:“ref5”,“doi-asserted-by”:“publisher”,“doi”:“10.1016\/J.ENG.2016.02.010”}2.2021.01539“},{“key”:“ref2”,“doi-asserted-by”:“publisher”,“DOI”:“10.3390\/s20071870”},{“key”:“ref9”,“article-title”:“深入学习车道标记检测:调查”,“author”:“zhang”,”year“:“2021”,“journal-title“:”IEEE TITS“},”{“key”:”ref1“,”author“:”zhou“,”year:“2021泰德比”:“publisher”,“DOI”:“10.1109\/TPAMI.2015.2477832”},{“key”:“ref22”,“DOI-asserted-by”:“publicher”,“DOI”:”10.1109\/ICCV.2019.00315“},}“key:”ref21“,”DOI-assert-by“:”publisher“评论“,”作者“:“mozaffari”,“year”:“2020”,“journal-title”:“IEEE TITS”},{“key”:“ref23”,“doi-asserted-by”:“publisher”,”doi“:”10.1007\/s11263-020-01359-2“},}”key“:”ref26“,”article-title“:”Grin:多智能体轨迹预测的生成关系和意图网络“,”author“:”li“,”year“:”2021“,”journal-title“”:”NeurIPS,“doi-asserted-by”:“publisher”,“DOI”:“10.1109\/TPAMI.2016.2608884”}],“event”:{“name”:“2022 IEEE多媒体与博览会(ICME)国际会议”,“location”:“Taiwai”,“start”:{“date-parts”:[2022,7,18]},“end”:}“date-parts”:[[2022,7,22]}},“”:[{“URL”:“http://\/xplorestaging.ieee.org\/ielx7\/9859562\/9859689.pdf?arnumber=9859689”,“content-type”:“unspecified”,“内容版本”:“vor”,“intended-application”:“similarity-checking”}],“存放”:{“date-parts”:[2022,9,19]],“日期时间”:“2022-09-19T20:24:47Z”,“时间戳”:16636190087000},“score”:1,“resource”:{“primary”:{“URL”:“https:\/\/ieeexplore.iee.org\/document\/9859689\/”}},“副标题”:[],“短标题”:[],“已发布”:{“日期-部件”:[2022,7,18]]},”引用计数“:26,”URL“:”http://\/dx.doi.org\/10.109\/icme52920.2022.9859689“,”关系“:{}”,“主题”:[[],”已发布“:{”日期-部件“:[2022,7,18]”7,18]]}}}