{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T16:24:23Z","timestamp":1782577463902,"version":"3.54.5"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1109\/lra.2024.3447450","type":"journal-article","created":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T12:45:25Z","timestamp":1724417125000},"page":"8539-8546","source":"Crossref","is-referenced-by-count":39,"title":["P-MapNet: Far-Seeing Map Generator Enhanced by Both SDMap and HDMap Priors"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-9417-8621","authenticated-orcid":false,"given":"Zhou","family":"Jiang","sequence":"first","affiliation":[{"name":"School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-4206-3483","authenticated-orcid":false,"given":"Zhenxin","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8114-6207","authenticated-orcid":false,"given":"Pengfei","family":"Li","sequence":"additional","affiliation":[{"name":"AIR, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-6727-5778","authenticated-orcid":false,"given":"Huan-ang","family":"Gao","sequence":"additional","affiliation":[{"name":"AIR, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-9581-4559","authenticated-orcid":false,"given":"Tianyuan","family":"Yuan","sequence":"additional","affiliation":[{"name":"IIIS and MARS Lab, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3086-729X","authenticated-orcid":false,"given":"Yongliang","family":"Shi","sequence":"additional","affiliation":[{"name":"AIR, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hang","family":"Zhao","sequence":"additional","affiliation":[{"name":"IIIS and MARS Lab, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7903-581X","authenticated-orcid":false,"given":"Hao","family":"Zhao","sequence":"additional","affiliation":[{"name":"AIR, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812383"},{"key":"ref2","article-title":"Vectormapnet: End-to-end vectorized HD map learning","author":"Liu","year":"2022"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01712"},{"key":"ref4","article-title":"Openlane-V2: A topology reasoning benchmark for unified 3D HD mapping","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"36","author":"Wang","year":"2024"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160708"},{"key":"ref6","first-page":"3","article-title":"Mars: An instance-aware, modular and realistic simulator for autonomous driving","volume-title":"Proc. CAAI Int. Conf. Artif. Intell.","author":"Wu","year":"2023"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160326"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02072"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20077-9_1"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160470"},{"key":"ref11","article-title":"Latency-aware road anomaly segmentation in videos: A photorealistic dataset and new metrics","author":"Tian","year":"2024"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.99"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3143224"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10161273"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.02002"},{"key":"ref16","article-title":"High-definition map generation technologies for autonomous driving","author":"Bao","year":"2022"},{"key":"ref17","first-page":"409","article-title":"One thousand and one hours: Self-driving motion prediction dataset","volume-title":"Proc. Conf. Robot Learn.","author":"Houston","year":"2021"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58568-6_12"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9811901"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/icra57147.2024.10611320"},{"key":"ref21","article-title":"Lane graph as path: Continuity-preserving path-wise modeling for online lane graph construction","author":"Liao","year":"2023"},{"key":"ref22","article-title":"MAPTR: Structured modeling and learning for online vectorized HD map construction","author":"Liao","year":"2022"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00340"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/wacv57701.2024.00719"},{"key":"ref25","article-title":"Online map vectorization for autonomous driving: A rasterization perspective","author":"Zhang","year":"2023"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01682"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/icra57147.2024.10611611"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00795"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01553"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/MPRV.2008.80"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01164"},{"key":"ref33","article-title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting","volume-title":"Proc. NeurIPS Datasets Benchmarks","author":"Wilson","year":"2021"},{"key":"ref34","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/icra48891.2023.10160968"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3004325"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7083369\/10638067\/10643284.pdf?arnumber=10643284","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T06:03:44Z","timestamp":1769493824000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10643284\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10]]},"references-count":37,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/lra.2024.3447450","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10]]}}}