Data Logic Structure and Key Technologies on Intelligent High-precision Map
Taking autonomous driving and driverless as the research object, we discuss and define intelligent high-precision map. Intelligent high-precision map is considered as a key link of future travel, a carrier of real-time perception of traffic resources in the entire space-time range, and the criterion...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Surveying and Mapping Press
2020-09-01
|
| Series: | Journal of Geodesy and Geoinformation Science |
| Subjects: | |
| Online Access: | http://jggs.sinomaps.com/fileup/2096-5990/PDF/1601460375020-761183242.pdf |
| _version_ | 1828893170590547968 |
|---|---|
| author | LIU Jingnan,ZHAN Jiao,GUO Chi,LEI Tingting,LI Ying |
| author_facet | LIU Jingnan,ZHAN Jiao,GUO Chi,LEI Tingting,LI Ying |
| author_sort | LIU Jingnan,ZHAN Jiao,GUO Chi,LEI Tingting,LI Ying |
| collection | DOAJ |
| description | Taking autonomous driving and driverless as the research object, we discuss and define intelligent high-precision map. Intelligent high-precision map is considered as a key link of future travel, a carrier of real-time perception of traffic resources in the entire space-time range, and the criterion for the operation and control of the whole process of the vehicle. As a new form of map, it has distinctive features in terms of cartography theory and application requirements compared with traditional navigation electronic maps. Thus, it is necessary to analyze and discuss its key features and problems to promote the development of research and application of intelligent high-precision map. Accordingly, we propose an information transmission model based on the cartography theory and combine the wheeled robot’s control flow in practical application. Next, we put forward the data logic structure of intelligent high-precision map, and analyze its application in autonomous driving. Then, we summarize the computing mode of “Crowdsourcing+Edge-Cloud Collaborative Computing”, and carry out key technical analysis on how to improve the quality of crowdsourced data. We also analyze the effective application scenarios of intelligent high-precision map in the future. Finally, we present some thoughts and suggestions for the future development of this field. |
| first_indexed | 2024-12-13T13:48:52Z |
| format | Article |
| id | doaj.art-3b730832ef0c4c0c826596883c65fdaa |
| institution | Directory Open Access Journal |
| issn | 2096-5990 |
| language | English |
| last_indexed | 2024-12-13T13:48:52Z |
| publishDate | 2020-09-01 |
| publisher | Surveying and Mapping Press |
| record_format | Article |
| series | Journal of Geodesy and Geoinformation Science |
| spelling | doaj.art-3b730832ef0c4c0c826596883c65fdaa2022-12-21T23:43:16ZengSurveying and Mapping PressJournal of Geodesy and Geoinformation Science2096-59902020-09-013311710.11947/j.JGGS.2020.0301Data Logic Structure and Key Technologies on Intelligent High-precision MapLIU Jingnan,ZHAN Jiao,GUO Chi,LEI Tingting,LI Ying01. Research Center of GNSS, Wuhan University, Wuhan 430079, China;2. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China;3. Baidu Online Network Technology (Beijing) Co., Ltd, Beijing 100085, ChinaTaking autonomous driving and driverless as the research object, we discuss and define intelligent high-precision map. Intelligent high-precision map is considered as a key link of future travel, a carrier of real-time perception of traffic resources in the entire space-time range, and the criterion for the operation and control of the whole process of the vehicle. As a new form of map, it has distinctive features in terms of cartography theory and application requirements compared with traditional navigation electronic maps. Thus, it is necessary to analyze and discuss its key features and problems to promote the development of research and application of intelligent high-precision map. Accordingly, we propose an information transmission model based on the cartography theory and combine the wheeled robot’s control flow in practical application. Next, we put forward the data logic structure of intelligent high-precision map, and analyze its application in autonomous driving. Then, we summarize the computing mode of “Crowdsourcing+Edge-Cloud Collaborative Computing”, and carry out key technical analysis on how to improve the quality of crowdsourced data. We also analyze the effective application scenarios of intelligent high-precision map in the future. Finally, we present some thoughts and suggestions for the future development of this field.http://jggs.sinomaps.com/fileup/2096-5990/PDF/1601460375020-761183242.pdf|intelligent high-precision map|information transmission model|data logic structure|user model|computing mode|edge-cloud collaboration |
| spellingShingle | LIU Jingnan,ZHAN Jiao,GUO Chi,LEI Tingting,LI Ying Data Logic Structure and Key Technologies on Intelligent High-precision Map Journal of Geodesy and Geoinformation Science |intelligent high-precision map|information transmission model|data logic structure|user model|computing mode|edge-cloud collaboration |
| title | Data Logic Structure and Key Technologies on Intelligent High-precision Map |
| title_full | Data Logic Structure and Key Technologies on Intelligent High-precision Map |
| title_fullStr | Data Logic Structure and Key Technologies on Intelligent High-precision Map |
| title_full_unstemmed | Data Logic Structure and Key Technologies on Intelligent High-precision Map |
| title_short | Data Logic Structure and Key Technologies on Intelligent High-precision Map |
| title_sort | data logic structure and key technologies on intelligent high precision map |
| topic | |intelligent high-precision map|information transmission model|data logic structure|user model|computing mode|edge-cloud collaboration |
| url | http://jggs.sinomaps.com/fileup/2096-5990/PDF/1601460375020-761183242.pdf |
| work_keys_str_mv | AT liujingnanzhanjiaoguochileitingtingliying datalogicstructureandkeytechnologiesonintelligenthighprecisionmap |