Smart City Gnosys
Smart city article details
| Title | Establishment Of Hd Maps Verification And Validation Procedure With Opendrive And Autoware (Lanelet2) Formats |
|---|---|
| ID_Doc | 24368 |
| Authors | Chiang K.-W.; Tsai M.-L.; Lin S.; Huang Y.-E.; Zeng J.-C.; Chang Y.-F.; Chen J.-A.; Huang Y.-C.; Yang C.-S.; Juang J.-C.; Wang C.-K.; Lin C.-F.; Lee J.; Darweesh H.; Li P.-L. |
| Year | 2023 |
| Published | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 10, 1-W1-2023 |
| DOI | http://dx.doi.org/10.5194/isprs-annals-X-1-W1-2023-621-2023 |
| Abstract | Mobile mapping technologies, for example multi-sensor integration and multi-platform mapping technology, have developed and improved over recent decades, various applications such as conventional mapping scenarios, rapid disaster response, smart city, and autonomous vehicle application arise synchronously. Especially, autonomous driving vehicles have made enormous progress. High-definition (HD) maps are key for autonomous driving because of their high accuracy and rich information of road scenes. However, how to make sure that HD maps are suitable for autonomous vehicle requirement is an important topic. The HD maps guidelines and standards in Taiwan are released since 2018 and mainly focus on point cloud and shape file format. In this paper, a procedure for the verification and validation of HD maps for OpenDRIVE and Autoware (Lanelet2) is proposed. It discusses about the verification strategies, suggestion review item, recommendation tools, and process. As shown by our preliminary results, the proposed process can conform not only in closed area but also public road. These issues can help reducing HD maps production costs. When the foundation of HD maps accomplishes, the autonomous driving techniques can naturally complement. The vision of full automation vehicle will come true rapidly in the future. © Author(s) 2023. CC BY 4.0 License. |
| Author Keywords | Autoware; HD map standardization; HD map verification; Lanelet2; OpenDRIVE |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
29087  | 0.902 | Elghazaly G.; Frank R.; Harvey S.; Safko S. | High-Definition Maps: Comprehensive Survey, Challenges, And Future Perspectives | IEEE Open Journal of Intelligent Transportation Systems, 4 (2023) |
| 19533 | 0.888 | Li B.; Guo Y.; Zhou J.; Tang Y.; Dong Q.; Li Z. | Development And Prospects Of High Definition Map For Intelligent Vehicle; [智 能 驾 驶 高 精 地 图 发 展 与 展 望] | Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 49, 4 (2024) |
| 40149 | 0.886 | Zhang F.; Shi W.; Chen M.; Huang W.; Liu X. | Open Hd Map Service Model: An Interoperable High-Definition Map Data Model For Autonomous Driving | International Journal of Digital Earth, 16, 1 (2023) |
| 28982 | 0.88 | Kang Y.; Magdy A. | Hidam: A Unified Data Model For High-Definition (Hd) Map Data | Proceedings - 2020 IEEE 36th International Conference on Data Engineering Workshops, ICDEW 2020 (2020) |