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Home Research Areas Visual SLAM D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry

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D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry

Contact: Nan Yang, Lukas Von Stumberg, Rui Wang, Prof. Daniel Cremers


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Conference and Workshop Papers
2020
[]D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry (N. Yang, L. von Stumberg, R. Wang and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.  [bibtex] [arXiv:2003.01060] [pdf]Oral Presentation
2018
[]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]Oral Presentation
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