Real Time Probabilistic Mapping for Sonar Sensor by Optimization
文献类型：会议论文
| 作者 | Yuxuan Liu; Lujia Wang; Ming Liu |
| 出版日期 | 2018 |
| 会议日期 | 2018 |
| 会议地点 | 马来西亚 |
| 英文摘要 | Mapping with sonar sensor is highly interesting yet to be solved, due to the low-cost and high uncertainty of the sensor. A novel method for iterative probabilistic occupancy grid mapping using gradient ascent is introduced. The algorithm is based on the forward sensor model for sonar sensors. The experiments demonstrate that such method is capable of creating satisfying maps for a mobile robot in real time. It is rather robust to sensor noise and model errors and it can overcome the problem of sensor conflicts produced by some existing methods. We propose an efficient way of iterative mapping for mobile robots. |
| 语种 | 英语 |
| URL标识 | 查看原文 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/14133]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 推荐引用方式 GB/T 7714 | Yuxuan Liu,Lujia Wang,Ming Liu. Real Time Probabilistic Mapping for Sonar Sensor by Optimization[C]. 见:. 马来西亚. 2018. |
入库方式： OAI收割
来源：深圳先进技术研究院
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