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Birds-eye-view (BEV) semantic segmentation is critical for autonomous driving for its powerful spatial representation ability.
Thrun, S.: Probabilistic robotics. Communications of the ACM 45
2002
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Sengupta, S., Sturgess, P., Ladickỳ, L., Torr, P.H.: Automatic dense visual semantic mapping from street-level imagery. In: 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems. pp. 857–862 (2012)
2012
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Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, Ł., Polosukhin, I.: Attention is all you need. Advances in Neural Information Processing Systems(NIPS) 30
2017
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Henriques, J.F., Vedaldi, A.: Mapnet: An allocentric spatial memory for mapping environments. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR). pp. 8476–8484 (2018)
2018
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Schulter, S., Zhai, M., Jacobs, N., Chandraker, M.: Learning to look around objects for top-view representations of outdoor scenes. In: Proceedings of the European Conference on Computer Vision(ECCV). pp. 787–802 (2018)
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Zhu, X., Yin, Z., Shi, J., Li, H., Lin, D.: Generative adversarial frontal view to bird view synthesis. In: 2018 International conference on 3D Vision(3DV). pp. 454–463 (2018)
2018
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Chang, M.F., Lambert, J., Sangkloy, P., Singh, J., Bak, S., Hartnett, A., Wang, D., Carr, P., Lucey, S., Ramanan, D., et al.: Argoverse: 3d tracking and forecasting with rich maps. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR). pp. 8748–8757 (2019)
2019
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Lu, C., van de Molengraft, M.J.G., Dubbelman, G.: Monocular semantic occupancy grid mapping with convolutional variational encoder–decoder networks. IEEE Robotics and Automation Letters 4
2019
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Roddick, T., Kendall, A., Cipolla, R.: Orthographic feature transform for monocular 3d object detection. In: 30th British Machine Vision Conference(BMVC). p. 285 (2019)
2019
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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(CVPR). pp. 11621–11631 (2020)
2020
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Carion, N., Massa, F., Synnaeve, G., Usunier, N., Kirillov, A., Zagoruyko, S.: End-to-end object detection with transformers. In: European Conference on Computer Vision(ECCV). pp. 213–229 (2020)
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Mani, K., Daga, S., Garg, S., Narasimhan, S.S., Krishna, M., Jatavallabhula, K.M.: Monolayout: Amodal scene layout from a single image. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision(WACV). pp. 1689–1697 (2020)
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2020
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Chitta, K., Prakash, A., Geiger, A.: Neat: Neural attention fields for end-to-end autonomous driving. In: Proceedings of the IEEE/CVF International Conference on Computer Vision(ICCV). pp. 15793–15803 (2021)
2021
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Dwivedi, I., Malla, S., Chen, Y., Dariush, B.: Bird’s eye view segmentation using lifted 2d semantic features. In: 32nd British Machine Vision Conference(BMVC). p. 383 (2021)
2021
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Hu, A., Murez, Z., Mohan, N., Dudas, S., Hawke, J., Badrinarayanan, V., Cipolla, R., Kendall, A.: Fiery: Future instance prediction in bird’s-eye view from surround monocular cameras. In: Proceedings of the IEEE/CVF International Conference on Computer Vision(ICCV). pp. 15273–15282 (2021)
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Cited alongside, same era.
Pan, B., Sun, J., Leung, H.Y.T., Andonian, A., Zhou, B.: Cross-view semantic segmentation for sensing surroundings. IEEE Robotics and Automation Letters 5
2020
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Philion, J., Fidler, S.: Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d. In: European Conference on Computer Vision(ECCV). pp. 194–210 (2020)
2020
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Reiher, L., Lampe, B., Eckstein, L.: A sim2real deep learning approach for the transformation of images from multiple vehicle-mounted cameras to a semantically segmented image in bird’s eye view. In: 2020 IEEE 23rd International Conference on Intelligent Transportation Systems(ITSC). pp. 1–7 (2020)
2020
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Roddick, T., Cipolla, R.: Predicting semantic map representations from images using pyramid occupancy networks. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR). pp. 11138–11147 (2020)
2020
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2021
Later among the works it cites.
Reading, C., Harakeh, A., Chae, J., Waslander, S.L.: Categorical depth distribution network for monocular 3d object detection. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR). pp. 8555–8564 (2021)
2021
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2021
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Saha, A., Mendez, O., Russell, C., Bowden, R.: Enabling spatio-temporal aggregation in birds-eye-view vehicle estimation. In: 2021 IEEE International Conference on Robotics and Automation (ICRA). pp. 5133–5139 (2021)
2021
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