SLAM of Robot based on the Fusion of Vision and LIDAR
文献类型：会议论文
| 作者 | Yinglei Xu; Yongsheng Ou; Tiantian Xu |
| 出版日期 | 2018 |
| 会议日期 | 2018 |
| 会议地点 | shenzhen |
| 英文摘要 | The Simultaneous Localization and Mapping (SLAM) of robots plays an increasingly important role in the development of mobile robots. The two most commonly used methods are visual and LIDAR methods. In the visual design, the RGB-D camera is sensitive to light, and it has a narrow field of vision. Besides, in the featureless environment, it is difficult to extract visual features. The confines above lead to a poor tracking in practice, which causes a failure in mapping completely. This paper aims at the tracking part of SLAM using an RGB-D camera and 2d low-cost LIDAR to finish a robust indoor SLAM by a mode switch and data fusion. The experiment shows that our method can get an effect map even in the featureless environment. |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/13832]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 推荐引用方式 GB/T 7714 | Yinglei Xu,Yongsheng Ou,Tiantian Xu. SLAM of Robot based on the Fusion of Vision and LIDAR[C]. 见:. shenzhen. 2018. |
入库方式： OAI收割
来源：深圳先进技术研究院
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