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In autonomous driving applications, accurate and efficient road surface reconstruction is paramount.
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J. Johnson, N. Ravi, J. Reizenstein, D. Novotny, S. Tulsiani, C. Lassner, and S. Branson, “Accelerating 3d deep learning with pytorch3d,” in SIGGRAPH Asia 2020 Courses , 2020, pp. 1–18
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Z. Li, L. Li, and J. Zhu, “Read: Large-scale neural scene rendering for autonomous driving,” in AAAI Conference on Artificial Intelligence , vol. 37, no. 2, 2023, pp. 1522–1529
2023
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Z. Xie, Z. Pang, and Y.-X. Wang, “Mv-map: Offboard hd-map generation with multi-view consistency,” in IEEE International Conference on Computer Vision , 2023, pp. 8658–8668
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W. Bian, Z. Wang, K. Li, J.-W. Bian, and V. A. Prisacariu, “Nope-nerf: Optimising neural radiance field with no pose prior,” in IEEE Conference on Computer Vision and Pattern Recognition , 2023, pp. 4160–4169
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P. Wang, Y. Liu, Z. Chen, L. Liu, Z. Liu, T. Komura, C. Theobalt, and W. Wang, “F2-nerf: Fast neural radiance field training with free camera trajectories,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2023, pp. 4150–4159
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