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A Bayesian Approach to Learning 3D Representations of Dynamic Environments (bibtex)
A Bayesian Approach to Learning 3D Representations of Dynamic Environments (bibtex)
by R. Kaestner, N. Engelhard, R. Triebel and R. Siegwart
Reference:
A Bayesian Approach to Learning 3D Representations of Dynamic Environments (R. Kaestner, N. Engelhard, R. Triebel and R. Siegwart), In Proc. of The 12th International Symposium on Experimental Robotics (ISER), Springer Press, 2010. 
Bibtex Entry:
@inproceedings{kaestner10bayesian,
 author = {R. Kaestner and N. Engelhard and R. Triebel and R. Siegwart},
 title = {A Bayesian Approach to Learning 3D Representations of Dynamic Environments},
 booktitle = {Proc. of The 12th International Symposium on Experimental Robotics (ISER)},
 year = {2010},
 publisher = {Springer Press},
 address = {Berlin},
}
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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group SRL Group