Relative Position Estimation Method of Multi-robot Based on 2D Lidar
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3332-3_23
Reference17 articles.
1. Güler, S., Abdelkader, M., Shamma, J.S.: Infrastructure-free multi-robot localization with ultrawideband sensors. In: American Control Conference (ACC), pp. 13–18. IEEE (2019)
2. Hou, X., Arslan, T.: Monte Carlo localization algorithm for indoor positioning using Bluetooth low energy devices. In: International Conference on Localization and GNSS (ICL-GNSS), pp. 1–6. IEEE (2017)
3. Wang, T., Zhao, L., Jia, Y., et al.: WiFi initial position estimate methods for autonomous robots. In: WRC Symposium on Advanced Robotics and Automation (WRC SARA), pp. 165–171. IEEE (2018)
4. Magnago, V., Palopoli, L., Buffi, A., et al.: Ranging-free UHF-RFID robot positioning through phase measurements of passive tags. IEEE Trans. Instrum. Meas. 69(5), 2408–2418 (2019)
5. Xu, S., Chou, W., Dong, H.: A robust indoor localization system integrating visual localization aided by CNN-based image retrieval with Monte Carlo localization. Sensors 19(2), 249 (2019)
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