A Robot Mapping Technique for Indoor Environments
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7862-5_23
Reference20 articles.
1. Li, Y., Zhun, F., Guijie, Z., Wenji, L., Chong, L., Yupeng, W., & Honghui, X. (2018). A slam with simultaneous construction of 2d and 3d maps based on rao-blackwellized particle filters. In 2018 tenth international conference on advanced computational intelligence (ICACI) (pp. 374–378).
2. Hornung, A., Wurm, K. M., Bennewitz, M., Stachniss, C., & Burgard, W. (2013). Octomap: An efficient probabilistic 3d mapping framework based on octrees. Autonomous Robots, 34, 189–206.
3. Grisetti, G., Stachniss, C., Burgard, W. (2005). Improving grid-based slam with rao-blackwellized particle filters by adaptive proposals and selective resampling. In Proceedings of the 2005 IEEE international conference on robotics and automation (pp. 2432–2437).
4. Delmerico, J. A., Baran, D., David, P., Ryde, J., & Corso, J. J. (2013). Ascending stairway modeling from dense depth imagery for traversability analysis. In 2013 IEEE international conference on robotics and automation (pp. 2283–2290).
5. Ma, Z., Zhu, L., Wang, P., & Zhao, Y. (2019). Ros-based multi-robot system simulator. In 2019 Chinese automation congress (CAC) (pp. 4228–4232).
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