Towards visual ego-motion learning in robots

@article{Pillai2017TowardsVE,
  title={Towards visual ego-motion learning in robots},
  author={S. Pillai and J. Leonard},
  journal={2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year={2017},
  pages={5533-5540}
}
  • S. Pillai, J. Leonard
  • Published 2017
  • Computer Science, Engineering
  • 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Many model-based Visual Odometry (VO) algorithms have been proposed in the past decade, often restricted to the type of camera optics, or the underlying motion manifold observed. [...] Key Method By modeling the architecture as a Conditional Variational Autoencoder (C-VAE), our model is able to provide introspective reasoning and prediction for ego-motion induced scene-flow.Expand
Deep Monocular Visual Odometry for Ground Vehicle
Improving Learning-based Ego-motion Estimation with Homomorphism-based Losses and Drift Correction
LS-VO: Learning Dense Optical Subspace for Robust Visual Odometry Estimation
Multi-Hypothesis Visual-Inertial Flow
Unsupervised Deep Visual-Inertial Odometry with Online Error Correction for RGB-D Imagery
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References

SHOWING 1-10 OF 30 REFERENCES
Exploring Representation Learning With CNNs for Frame-to-Frame Ego-Motion Estimation
Learning general optical flow subspaces for egomotion estimation and detection of motion anomalies
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem
Visual Odometry [Tutorial]
Benefit of large field-of-view cameras for visual odometry
Visual odometry
  • D. Nistér, O. Naroditsky, J. Bergen
  • Computer Science
  • Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.
  • 2004
Transforming camera geometry to a virtual downward-looking camera: robust ego-motion estimation and ground-layer detection
  • Q. Ke, T. Kanade
  • Computer Science
  • 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.
  • 2003
Are we ready for autonomous driving? The KITTI vision benchmark suite
Motion Estimation for Self-Driving Cars with a Generalized Camera
...
1
2
3
...