DAttNet: monocular depth estimation network based on attention mechanisms
Author:
Funder
Comunidad de Madrid
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-09210-8.pdf
Reference28 articles.
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2. Liang M, Yang B, Zeng W, Chen Y, Hu R, Casas S, Urtasun R (2020) PnPNet: End-to-end perception and prediction with tracking in the loop. In: 2020 IEEE/CVF conference on computer vision and pattern recognition (CVPR), pp. 11550–11559. https://doi.org/10.1109/CVPR42600.2020.01157
3. Astudillo A, Molina N, Cortés I, Mahtout I, González D, Beltrán J, Guindel C, Barrera A, Álvarez M, Zinoune C, Milanés V, García F (2021) Visibility-aware adaptative speed planner for human-like navigation in roundabouts. In: 2021 IEEE International intelligent transportation systems conference (ITSC), pp. 885–890. https://doi.org/10.1109/ITSC48978.2021.9564451
4. Pei L, Rui Z (2015) The analysis of stereo vision 3D point cloud data of autonomous vehicle obstacle recognition. In: 2015 7th International conference on intelligent human-machine systems and cybernetics, vol. 2, pp. 207–210. https://doi.org/10.1109/IHMSC.2015.192
5. Doval GN, Al-Kaff A, Beltrán J, Fernández FG, Fernández López G (2019) Traffic sign detection and 3D localization via deep convolutional neural networks and stereo vision. In: 2019 IEEE intelligent transportation systems conference (ITSC), pp. 1411–1416. https://doi.org/10.1109/ITSC.2019.8916958
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