| International Journal of Advanced Robotic Systems | |
| Precise Localization of Mobile Robots via Odometry and Wireless Sensor Network | |
| 关键词: Dead Reckoning; Kalman Filter; Mobile Robot Localization; Wireless Sensor Network; | |
| DOI : 10.5772/56217 | |
| 学科分类:自动化工程 | |
| 来源: InTech | |
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【 摘 要 】
Precise localization of mobile robots in uncertain environments is a fundamental and crucial issue in robotics. In this paper, to deal with the unbounded accumulated errors of dead reckoning (DR)-based localization, wireless sensor network (WSN)-based localization is applied to calibrate the uncertainty of odometry using a Kalman filter (KF). In addition, to further aid in obtaining precise positions and reduce uncertainty, a novel backward dead reckoning (BDR) localization approach is proposed. The experimental results demonstrate the success and reliability of the proposed method.
【 授权许可】
CC BY
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201902187441654ZK.pdf | 1975KB |
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