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Integrating LiDAR and camera information into Bird's-Eye-View (BEV) representation has emerged as a crucial aspect of 3D object detection in autonomous driving.
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Caesar, H., Bankiti, V., Lang, A.H., Vora, S., Liong, V.E., Xu, Q., Krishnan, A., Pan, Y., Baldan, G., Beijbom, O.: nuscenes: A multimodal dataset for autonomous driving. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 11621–11631 (2020)
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2021
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Li, Z., Wang, F., Wang, N.: Lidar r-cnn: An efficient and universal 3d object detector. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 7546–7555 (2021)
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Liu, Z., Lin, Y., Cao, Y., Hu, H., Wei, Y., Zhang, Z., Lin, S., Guo, B.: Swin transformer: Hierarchical vision transformer using shifted windows. In: Proceedings of the IEEE/CVF international conference on computer vision. pp. 10012–10022 (2021)
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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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Miao, Z., Chen, J., Pan, H., Zhang, R., Liu, K., Hao, P., Zhu, J., Wang, Y., Zhan, X.: Pvgnet: A bottom-up one-stage 3d object detector with integrated multi-level features. In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Jun 2021). https://doi.org/10.1109/cvpr46437.2021.00329
2021
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Wang, C., Ma, C., Zhu, M., Yang, X.: Pointaugmenting: Cross-modal augmentation for 3d object detection. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 11794–11803 (2021)
2021
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Yin, T., Zhou, X., Krahenbuhl, P.: Center-based 3d object detection and tracking. In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Jun 2021). https://doi.org/10.1109/cvpr46437.2021.01161
2021
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Yin, T., Zhou, X., Krähenbühl, P.: Multimodal virtual point 3d detection. Advances in Neural Information Processing Systems 34
2021
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Chen, Z., Li, Z., Zhang, S., Fang, L., Jiang, Q., Zhao, F.: Autoalignv2: Deformable feature aggregation for dynamic multi-modal 3d object detection (Jul 2022)
2022
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Chen, Z., Li, Z., Zhang, S., Fang, L., Jiang, Q., Zhao, F., Zhou, B., Zhao, H.: Autoalign: Pixel-instance feature aggregation for multi-modal 3d object detection. In: Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (Jul 2022). https://doi.org/10.24963/ijcai.2022/116
2022
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Fan, L., Pang, Z., Zhang, T., Wang, Y.X., Zhao, H., Wang, F., Wang, N., Zhang, Z.: Embracing single stride 3d object detector with sparse transformer. In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Jun 2022). https://doi.org/10.1109/cvpr52688.2022.00827
2022
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2022
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Li, Y., Ge, Z., Yu, G., Yang, J., Wang, Z., Shi, Y., Sun, J., Li, Z.: Bevdepth: Acquisition of reliable depth for multi-view 3d object detection. In: Proceedings of the AAAI Conference on Artificial Intelligence. vol. 37, pp. 1477–1485 (2023)
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. pp. 3262–3272 (2023)
2023
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Liu, Z., Tang, H., Amini, A., Yang, X., Mao, H., Rus, D.L., Han, S.: Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation pp. 2774–2781 (2023)
2023
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Shi, S., Jiang, L., Deng, J., Wang, Z., Guo, C., Shi, J., Wang, X., Li, H.: Pv-rcnn++: Point-voxel feature set abstraction with local vector representation for 3d object detection. International Journal of Computer Vision 131
2023
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Song, Z., Jia, C., Yang, L., Wei, H., Liu, L.: Graphalign++: An accurate feature alignment by graph matching for multi-modal 3d object detection. IEEE Transactions on Circuits and Systems for Video Technology (2023)
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Song, Z., Wei, H., Bai, L., Yang, L., Jia, C.: Graphalign: Enhancing accurate feature alignment by graph matching for multi-modal 3d object detection. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 3358–3369 (2023)
2023
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Song, Z., Wei, H., Jia, C., Xia, Y., Li, X., Zhang, C.: Vp-net: Voxels as points for 3d object detection. IEEE Transactions on Geoscience and Remote Sensing (2023)
2023
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Song, Z., Zhang, G., Xie, J., Liu, L., Jia, C., Xu, S., Wang, Z.: Voxelnextfusion: A simple, unified, and effective voxel fusion framework for multimodal 3-d object detection. IEEE Transactions on Geoscience and Remote Sensing 61
2023
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Wang, L., Song, Z., Zhang, X., Wang, C., Zhang, G., Zhu, L., Li, J., Liu, H.: Sat-gcn: Self-attention graph convolutional network-based 3d object detection for autonomous driving. Knowledge-Based Systems 259
2023
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Wang, L., Zhang, X., Song, Z., Bi, J., Zhang, G., Wei, H., Tang, L., Yang, L., Li, J., Jia, C., et al.: Multi-modal 3d object detection in autonomous driving: A survey and taxonomy. IEEE Transactions on Intelligent Vehicles (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., et al.: 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. pp. 17830–17839 (2023)
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2023
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Yang, L., Yu, K., Tang, T., Li, J., Yuan, K., Wang, L., Zhang, X., Chen, P.: Bevheight: A robust framework for vision-based roadside 3d object detection. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 21611–21620 (2023)
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Zhang, G., Xie, J., Liu, L., Wang, Z., Yang, K., Song, Z.: Urformer: Unified representation lidar-camera 3d object detection with transformer. In: Chinese Conference on Pattern Recognition and Computer Vision (PRCV). pp. 401–413. Springer (2023)
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Bi, J., Wei, H., Zhang, G., Yang, K., Song, Z.: Dyfusion: Cross-attention 3d object detection with dynamic fusion. IEEE Latin America Transactions 22
2024
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Wang, L., Zhang, X., Zhao, F., Wu, C., Wang, Y., Song, Z., Yang, L., Xu, B., Li, J., Ge, S.S.: Fuzzy-nms: Improving 3d object detection with fuzzy classification in nms. IEEE Transactions on Intelligent Vehicles (2024)
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Xu, S., Li, F., Song, Z., Fang, J., Wang, S., Yang, Z.X.: Multi-sem fusion: multimodal semantic fusion for 3d object detection. IEEE Transactions on Geoscience and Remote Sensing (2024)
2024
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