OctoMap: an efficient probabilistic 3D mapping framework based on octrees

Author:

Hornung Armin,Wurm Kai M.,Bennewitz Maren,Stachniss Cyrill,Burgard Wolfram

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference58 articles.

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2. Blodow, N., Goron, L., Marton, Z., Pangercic, D., Ruhr, T., Tenorth, M., & Beetz, M. (2011). Autonomous semantic mapping for robots performing everyday manipulation tasks in kitchen environments. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). New York: IEEE Press.

3. Botsch, M., Wiratanaya, A., & Kobbelt, L. (2002). Efficient high quality rendering of point sampled geometry. In EGRW ’02 Proceedings of the 13th Eurographics workshop on Rendering, Aire-la-Ville, Switzerland, pp. 53–64.

4. Ciocarlie, M., Hsiao, K., Jones, E. G., Chitta, S., Rusu, R. B., & Sucan, I. A. (2010). Towards reliable grasping and manipulation in household environments. In International Symposium on Experimental Robotics (ISER), Delhi.

5. Cole, D., & Newman, P. (2006). Using laser range data for 3D SLAM in outdoor environments. In Proceedings of International Conference on Robotics & Automation (ICRA), Orlando.

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