H. Jiang, G. Larsson, M. Shakhnarovich, and E. Learned-miller, Self-supervised relative depth learning for urban scene understanding, Proceedings of the European Conference on Computer Vision (ECCV), pp.19-35, 2018.

H. Zhang, C. Shen, Y. Li, Y. Cao, Y. Liu et al., Exploiting temporal consistency for real-time video depth estimation, The IEEE International Conference on Computer Vision (ICCV), 2019.

J. Jiao, Y. Cao, Y. Song, and R. Lau, Look deeper into depth: Monocular depth estimation with semantic booster and attention-driven loss, Proceedings of the European Conference on Computer Vision (ECCV), pp.53-69, 2018.

T. V. Dijk and G. D. Croon, How do neural networks see depth in single images, The IEEE International Conference on Computer Vision (ICCV), 2019.

J. Hu, Y. Zhang, and T. Okatani, Visualization of convolutional neural networks for monocular depth estimation, The IEEE International Conference on Computer Vision (ICCV), 2019.

P. Chen, A. H. Liu, Y. Liu, and Y. F. Wang, Towards scene understanding: Unsupervised monocular depth estimation with semanticaware representation, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

A. Geiger, P. Lenz, and R. Urtasun, Are we ready for autonomous driving? the kitti vision benchmark suite, Conference on Computer Vision and Pattern Recognition (CVPR), 2012.

M. Menze and A. Geiger, Object scene flow for autonomous vehicles, Conference on Computer Vision and Pattern Recognition (CVPR), 2015.

K. Berger, R. Voorhies, and L. H. Matthies, Depth from stereo polarization in specular scenes for urban robotics, 2017 IEEE International Conference on, pp.1966-1973, 2017.

Z. Cui, J. Gu, B. Shi, P. Tan, and J. Kautz, Polarimetric multi-view stereo, Proc. of Computer Vision and Pattern Recognition (CVPR, 2017.

M. Rastgoo, C. Demonceaux, R. Seulin, and O. Morel, Attitude estimation from polarimetric cameras, IEEE/RSJ Int. Conf. on Intelligent Robots and Systems-IROS, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01865236

C. V. Nguyen, M. Milford, and R. Mahony, 3d tracking of water hazards with polarized stereo cameras, 2017 IEEE International Conference on, pp.5251-5257, 2017.

C. Godard, O. M. Aodha, M. Firman, and G. J. Brostow, Digging into self-supervised monocular depth estimation, Proceedings of the IEEE International Conference on Computer Vision, pp.3828-3838, 2019.

S. Rahmann and N. Canterakis, Reconstruction of specular surfaces using polarization imaging, vol.1, p.149, 2001.

O. Morel, C. Stolz, F. Meriaudeau, and P. Gorria, Active lighting applied to three-dimensional reconstruction of specular metallic surfaces by polarization imaging, Applied optics, vol.45, issue.17, pp.4062-4068, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00514527

R. Blin, S. Ainouz, S. Canu, and F. Meriaudeau, A new multimodal rgb and polarimetric image dataset for road scenes analysis, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp.216-217, 2020.

A. E. Shabayek, C. Demonceaux, O. Morel, and D. Fofi, Vision based uav attitude estimation: Progress and insights, Journal of Intelligent & Robotic Systems, vol.65, issue.1-4, pp.295-308, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00759018

O. J. Woodford, Global Stereo Reconstruction under Second Order Smoothness Priors, IEEE transactions on pattern analysis and machine intelligence, vol.31, pp.2115-2128, 2008.

L. Yang, F. Tan, A. Li, Z. Cui, Y. Furukawa et al., Polarimetric dense monocular slam, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.3857-3866, 2018.

A. Kadambi, V. Taamazyan, B. Shi, and R. Raskar, Polarized 3d: Highquality depth sensing with polarization cues, Proceedings of the IEEE International Conference on Computer Vision, pp.3370-3378, 2015.

D. Zhu and W. A. Smith, Depth from a polarisation + RGB stereo pair, CoRR, 1903.

J. Keller and S. Scherer, A stereo algorithm for thin obstacles and reflective objects, 2019.

H. Zhan, R. Garg, C. Weerasekera, K. Li, H. Agarwal et al., Unsupervised learning of monocular depth estimation and visual odometry with deep feature reconstruction, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.340-349, 2018.

Z. Yang, P. Wang, Y. Wang, W. Xu, and R. Nevatia, Every pixel counts: Unsupervised geometry learning with holistic 3d motion understanding, Proceedings of the European Conference on Computer Vision (ECCV), pp.0-0, 2018.

R. Garg, V. K. Bg, G. Carneiro, and I. Reid, Unsupervised cnn for single view depth estimation: Geometry to the rescue, European Conference on Computer Vision, pp.740-756, 2016.

C. Godard, O. M. Aodha, and G. J. Brostow, Unsupervised monocular depth estimation with left-right consistency, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.270-279, 2017.

A. Ranjan, V. Jampani, L. Balles, K. Kim, D. Sun et al., Competitive collaboration: Joint unsupervised learning of depth, camera motion, optical flow and motion segmentation, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, vol.12, pp.240-252, 2019.

J. Watson, M. Firman, G. J. Brostow, and D. Turmukhambetov, Selfsupervised monocular depth hints, Proceedings of the IEEE International Conference on Computer Vision, pp.2162-2171, 2019.

F. Brickwedde, S. Abraham, and R. Mester, Mono-sf: Multi-view geometry meets single-view depth for monocular scene flow estimation of dynamic traffic scenes, Proceedings of the IEEE International Conference on Computer Vision, pp.2780-2790, 2019.

P. Chen, A. H. Liu, Y. Liu, and Y. F. Wang, Towards scene understanding: Unsupervised monocular depth estimation with semanticaware representation, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.2624-2632, 2019.

G. Riegler, Y. Liao, S. Donne, V. Koltun, and A. Geiger, Connecting the dots: Learning representations for active monocular depth estimation, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.7624-7633, 2019.

D. Xu, E. Ricci, W. Ouyang, X. Wang, and N. Sebe, Multi-scale continuous crfs as sequential deep networks for monocular depth estimation, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.5354-5362, 2017.

E. Collett, Field guide to polarization, Spie Bellingham, 2005.

C. Wang, J. Buenaposada, R. Zhu, and S. Lucey, Learning depth from monocular videos using direct methods, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.2022-2030, 2018.

H. Hirschmuller, Stereo processing by semiglobal matching and mutual information, IEEE Transactions, vol.30, issue.2, pp.328-341, 2007.

D. Eigen, C. Puhrsch, and R. Fergus, Depth map prediction from a single image using a multi-scale deep network, Advances in neural information processing systems, pp.2366-2374, 2014.