Open AccessComputer ScienceEngineering

A. Hornung, Kai M. Wurm, Maren Bennewitz, C. Stachniss, Wolfram Burgard

2013.2.7AUTONOMOUS ROBOTS

DOI: 10.1007/s10514-012-9321-0

tlooto Summary

An open-source framework to generate volumetric 3D environment models based on octrees and uses probabilistic occupancy estimation that represents not only occupied space, but also free and unknown areas and an octree map compression method that keeps the 3D models compact.

Abstract

Abstract is not available.

Citation format

HORNUNG, A., et al. Octomap: An efficient probabilistic 3d mapping framework based on octrees. AUTONOMOUS ROBOTS, 2013, 34: 189–206.