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Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry (bibtex)
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry (bibtex)
by N. Yang, R. Wang, J. Stueckler and D. Cremers
Reference:
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry (N. Yang, R. Wang, J. Stueckler and D. Cremers), In European Conference on Computer Vision (ECCV), 2018. ([arxiv],[supplementary],[video],[talk],[project])
Bibtex Entry:
@string{eccv="European Conference on Computer Vision (ECCV)"}
@inproceedings{yang2018dvso,
 author = {N. Yang and R. Wang and J. Stueckler and D. Cremers},
 title = {Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry},
 booktitle = {European Conference on Computer Vision (ECCV)},
 year = {2018},
 month = {September},
 award = {Oral Presentation},
 keywords = {dso, dvso, deep learning, deeplearning, monocular depth estimation, semi-supervised learning, slam, visual odometry},
}
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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