Improving Robustness of Slow Feature Analysis Based Localization Using Loop Closure Events-Reference-Cited by-同舟云学术

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Improving Robustness of Slow Feature Analysis Based Localization Using Loop Closure Events

Published:2016 Issue: Volume: Page:489-496
ISSN:0302-9743
Container-title:Artificial Neural Networks and Machine Learning – ICANN 2016
language:
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Author:

Metka Benjamin,Franzius Mathias,Bauer-Wersing Ute

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-44781-0_58

Reference13 articles.

1. Mur-Artal, R., Montiel, J.M.M., Tardós, J.D.: ORB-SLAM: a versatile and accurate monocular SLAM system. CoRR abs/1502.00956 (2015)

2. Lecture Notes in Computer Science;J Engel,2014

3. Földiák, P.: Learning invariance from transformation sequences. Neural Comput. 3(2), 194–200 (1991)

4. Stone, J., Bray, A.: A learning rule for extracting spatio-temporal invariances. Netw. Comput. Neural Syst. 6(3), 429–436 (1995)

5. Körding, K.P., Kayser, C., Einhäuser, W., König, P.: How are complex cell properties adapted to the statistics of natural stimuli? J. Neurophysiol. 91(1), 206–212 (2004)

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