Covariance Based Terrain Mapping for Autonomous Mobile Robots
Author:
Affiliation:
1. California Institute of Technology,Jet Propulsion Laboratory,Pasadena,CA,USA
2. Julius-Maximilians-Universität,Computer Science XVII – Robotics,Würzburg,Germany
Funder
Jet Propulsion Laboratory
California Institute of Technology
National Aeronautics and Space Administration
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610010.pdf?arnumber=10610010
Reference19 articles.
1. Occupancy grids: A probabilistic framework for robot perception and navigation;Elfes,1989
2. Real-time map building for fast mobile robot obstacle avoidance
3. Pose uncertainty in occupancy grids through Monte Carlo integration
4. OctoMap: an efficient probabilistic 3D mapping framework based on octrees
5. Voxblox: Incremental 3D Euclidean Signed Distance Fields for on-board MAV planning
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