摘要
This paper proposes a RBPF SLAM algorithm for localization map building, and the SLAM result can be used for fusing multiple 3D photorealistic local maps of the environment. For the localization map, a heightmap representation based on the Velodyne pointcloud is presented, and a RBPF SLAM algorithm is established for precise mapping and localization. For the scene reconstruction map, the Velodyne LIDAR and Ladybug3 omnidirectional camera are fused to provide a photorealistic 3D representation of the scene.
源语言 | 英语 |
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主期刊名 | 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 |
出版商 | Institute of Electrical and Electronics Engineers Inc. |
页 | 2241-2242 |
页数 | 2 |
ISBN(电子版) | 9781479960781 |
DOI | |
出版状态 | 已出版 - 14 11月 2014 |
活动 | 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 - Qingdao, 中国 期限: 8 10月 2014 → 11 10月 2014 |
出版系列
姓名 | 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 |
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会议
会议 | 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 |
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国家/地区 | 中国 |
市 | Qingdao |
时期 | 8/10/14 → 11/10/14 |
指纹
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Fu, M., Zhu, H., Yang, Y., Wang, M., & Li, Y. (2014). Multiple map representations for vehicle localization and scene reconstruction. 在 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 (页码 2241-2242). 文章 6958036 (2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC.2014.6958036