U19-Net: a deep learning approach for obstacle detection in self-driving cars
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-022-06980-6.pdf
Reference68 articles.
1. Abadi M, Barham P, Chen J, et al (2016) Tensorflow: A system for large-scale machine learning. In: 12th Symposium on Operating Systems Design and Implementation, pp 265–283
2. Amine M, Djoudi K (2019) Vehicles detection using the mlp and the correlation measurement. In: 2019 International Conference on Advanced Electrical Engineering (ICAEE), IEEE, pp 1–5
3. Amitha I, Narayanan N (2021) Object detection using yolo framework for intelligent traffic monitoring. In: Machine Vision and Augmented Intelligence-Theory and Applications. Springer, p 405–412
4. Badrinarayanan V, Kendall A, Cipolla R (2017) Segnet: A deep convolutional encoder-decoder architecture for image segmentation. IEEE transactions on pattern analysis and machine intelligence 39(12):2481–2495
5. Baheti B, Innani S, Gajre S, et al (2020) Eff-unet: A novel architecture for semantic segmentation in unstructured environment. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp 358–359
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