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Vision-based 3D occupancy prediction is significantly challenged by the inherent limitations of monocular vision in depth estimation.
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Cao, A.Q., de Charette, R.: Monoscene: Monocular 3d semantic scene completion. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 3991–4001 (June 2022)
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Huang, J., Huang, G.: Bevdet4d: Exploit temporal cues in multi-camera 3d object detection (2022)
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Huang, J., Huang, G., Zhu, Z., Ye, Y., Du, D.: Bevdet: High-performance multi-camera 3d object detection in bird-eye-view (2022)
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Li, Y., Yang, J., Sun, J., Bao, H., Ge, Z., Xiao, L.: Bevstereo++: Accurate depth estimation in multi-view 3d object detection via dynamic temporal stereo (2023)
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Liu, Y., Yan, J., Jia, F., Li, S., Gao, A., Wang, T., Zhang, X.: Petrv2: A unified framework for 3d perception from multi-camera images. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV). pp. 3262–3272 (October 2023)
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Park, J., Xu, C., Yang, S., Keutzer, K., Kitani, K.M., Tomizuka, M., Zhan, W.: Time will tell: New outlooks and a baseline for temporal multi-view 3d object detection. In: The Eleventh International Conference on Learning Representations (2023)
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Li, Z., Wang, W., Li, H., Xie, E., Sima, C., Lu, T., Qiao, Y., Dai, J.: Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers. In: Avidan, S., Brostow, G., Cissé, M., Farinella, G.M., Hassner, T. (eds.) Computer Vision – ECCV 2022. pp. 1–18 (2022)
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Wang, Y., Guizilini, V.C., Zhang, T., Wang, Y., Zhao, H., Solomon, J.: Detr3d: 3d object detection from multi-view images via 3d-to-2d queries. In: Faust, A., Hsu, D., Neumann, G. (eds.) Proceedings of the 5th Conference on Robot Learning. Proceedings of Machine Learning Research, vol. 164, pp. 180–191. PMLR (08–11 Nov 2022)
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Huang, Y., Zheng, W., Zhang, Y., Zhou, J., Lu, J.: Tri-perspective view for vision-based 3d semantic occupancy prediction. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 9223–9232 (June 2023)
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Jiang, Y., Zhang, L., Miao, Z., Zhu, X., Gao, J., Hu, W., Jiang, Y.G.: Polarformer: Multi-camera 3d object detection with polar transformer. Proceedings of the AAAI Conference on Artificial Intelligence 37
2023
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Li, H., Li, Z., Akmandor, N.U., Jiang, H., Wang, Y., Padır, T.: Stereovoxelnet: Real-time obstacle detection based on occupancy voxels from a stereo camera using deep neural networks. In: 2023 IEEE International Conference on Robotics and Automation (ICRA). pp. 4826–4833 (2023)
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Li, Y., Yu, Z., Choy, C., Xiao, C., Alvarez, J.M., Fidler, S., Feng, C., Anandkumar, A.: Voxformer: Sparse voxel transformer for camera-based 3d semantic scene completion. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 9087–9098 (June 2023)
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Li, Y., Bao, H., Ge, Z., Yang, J., Sun, J., Li, Z.: Bevstereo: Enhancing depth estimation in multi-view 3d object detection with temporal stereo. Proceedings of the AAAI Conference on Artificial Intelligence 37
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Qin, Z., Chen, J., Chen, C., Chen, X., Li, X.: Unifusion: Unified multi-view fusion transformer for spatial-temporal representation in bird’s-eye-view. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV). pp. 8690–8699 (October 2023)
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Tian, X., Jiang, T., Yun, L., Mao, Y., Yang, H., Wang, Y., Wang, Y., Zhao, H.: Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving. In: Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M., Levine, S. (eds.) Advances in Neural Information Processing Systems. vol. 36, pp. 64318–64330. Curran Associates, Inc. (2023)
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Tong, W., Sima, C., Wang, T., Chen, L., Wu, S., Deng, H., Gu, Y., Lu, L., Luo, P., Lin, D., Li, H.: Scene as occupancy. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV). pp. 8406–8415 (October 2023)
2023
Later among the works it cites.
Wang, X., Zhu, Z., Xu, W., Zhang, Y., Wei, Y., Chi, X., Ye, Y., Du, D., Lu, J., Wang, X.: Openoccupancy: A large scale benchmark for surrounding semantic occupancy perception. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV). pp. 17850–17859 (October 2023)
2023
Later among the works it cites.
Xu, C., Wu, B., Hou, J., Tsai, S., Li, R., Wang, J., Zhan, W., He, Z., Vajda, P., Keutzer, K., Tomizuka, M.: Nerf-det: Learning geometry-aware volumetric representation for multi-view 3d object detection. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV). pp. 23320–23330 (October 2023)
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Yang, C., Chen, Y., Tian, H., Tao, C., Zhu, X., Zhang, Z., Huang, G., Li, H., Qiao, Y., Lu, L., Zhou, J., Dai, J.: Bevformer v2: Adapting modern image backbones to bird’s-eye-view recognition via perspective supervision. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 17830–17839 (June 2023)
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Zhang, Y., Zhu, Z., Du, D.: Occformer: Dual-path transformer for vision-based 3d semantic occupancy prediction. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV). pp. 9433–9443 (October 2023)
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Han, C., Yang, J., Sun, J., Ge, Z., Dong, R., Zhou, H., Mao, W., Peng, Y., Zhang, X.: Exploring recurrent long-term temporal fusion for multi-view 3d perception. IEEE Robotics and Automation Letters 9
2024
Closest in time.
Wang, Y., Chen, Y., Liao, X., Fan, L., Zhang, Z.: Panoocc: Unified occupancy representation for camera-based 3d panoptic segmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 17158–17168 (June 2024)
2024
Closest in time.