A Review of Visual SLAM
文献类型：会议论文
| 作者 | Yalan Chen; Yimin Zhou; Guoshan Zhang |
| 出版日期 | 2018 |
| 会议日期 | 2018 |
| 会议地点 | Wuyishan, China |
| 英文摘要 | Visual Simultaneous Localization and Mapping (VSLAM) uses the camera as a main external sensor and creates environmental map while locating itself in the absence of a prior knowledge of the environment. The quality of map created by SLAM will affect the performance of the autonomous location, path planning and obstacle avoidance. Though the SLAM problem is considered to be a theoretically solved problem, there are still many issues remain in in practical implement. This paper will introduce research history of SLAM briefly and the cameras used in V-SLAM, then classify the SLAM method based on the feature-based and direct method. The existing VSLAM methods will be summarized. Finally, the key issues of V-SLAM and development trends are discussed. |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/13828]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 推荐引用方式 GB/T 7714 | Yalan Chen,Yimin Zhou,Guoshan Zhang. A Review of Visual SLAM[C]. 见:. Wuyishan, China. 2018. |
入库方式： OAI收割
来源：深圳先进技术研究院
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