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Currently, detecting 3D objects in Bird's-Eye-View (BEV) is superior to other 3D detectors for autonomous driving and robotics.
Monocular 3d object detection and box fitting trained end-to-end using intersection-over-union loss
Jörgensen, E.; Zach, C.; and Kahl, F. 2019 · 1906
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Class-balanced grouping and sampling for point cloud 3d object detection
Zhu, B.; Jiang, Z.; Zhou, X.; Li, Z.; and Yu, G. 2019 · 1908
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Disentangling monocular 3d object detection
Simonelli, A.; Bulo, S. R.; Porzi, L.; López-Antequera, M.; and Kontschieder, P. 2019 · 1999
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The KITTI vision benchmark suite
Geiger, A.; Lenz, P.; Stiller, C.; and Urtasun, R. 2015 · 2015
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Monocular 3d object detection for autonomous driving
Chen, X.; Kundu, K.; Zhang, Z.; Ma, H.; Fidler, S.; and Urtasun, R. 2016 · 2016
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Deep residual learning for image recognition
He, K.; Zhang, X.; Ren, S.; and Sun, J. 2016 · 2016
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3d bounding box estimation using deep learning and geometry
Mousavian, A.; Anguelov, D.; Flynn, J.; and Kosecka, J. 2017 · 2017
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Joint 3d proposal generation and object detection from view aggregation
Ku, J.; Mozifian, M.; Lee, J.; Harakeh, A.; and Waslander, S. L. 2018 · 2018
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Orthographic feature transform for monocular 3d object detection
Roddick, T.; Kendall, A.; and Cipolla, R. 2018 · 2018
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Second: Sparsely embedded convolutional detection
Yan, Y.; Mao, Y.; and Li, B. 2018 · 2018
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Voxelnet: End-to-end learning for point cloud based 3d object detection
Zhou, Y.; and Tuzel, O. 2018 · 2018
Cited alongside, same era.
Monocular 3d object detection leveraging accurate proposals and shape reconstruction
Ku, J.; Pon, A. D.; and Waslander, S. L. 2019 · 2019
Cited alongside, same era.
Pointpillars: Fast encoders for object detection from point clouds
Lang, A. H.; Vora, S.; Caesar, H.; Zhou, L.; Yang, J.; and Beijbom, O. 2019 · 2019
Cited alongside, same era.
Pytorch: An imperative style, high-performance deep learning library
Paszke, A.; Gross, S.; Massa, F.; Lerer, A.; Bradbury, J.; Chanan, G.; Killeen, T.; Lin, Z.; Gimelshein, N.; Antiga, L.; et al. 2019 · 2019
Cited alongside, same era.
Pointrcnn: 3d object proposal generation and detection from point cloud
Shi, S.; Wang, X.; and Li, H. 2019 · 2019
Cited alongside, same era.
Fcos: Fully convolutional one-stage object detection
Predicting semantic map representations from images using pyramid occupancy networks
Roddick, T.; and Cipolla, R. 2020 · 2020
Later among the works it cites.
Pv-rcnn: Point-voxel feature set abstraction for 3d object detection
Shi, S.; Guo, C.; Jiang, L.; Wang, Z.; Shi, J.; Wang, X.; and Li, H. 2020 · 2020
Later among the works it cites.
Bevdet: High-performance multi-camera 3d object detection in bird-eye-view
Huang, J.; Huang, G.; Zhu, Z.; and Du, D. 2021 · 2021
Later among the works it cites.
Categorical depth distribution network for monocular 3d object detection
Reading, C.; Harakeh, A.; Chae, J.; and Waslander, S. L. 2021 · 2021
Later among the works it cites.
Fcos3d: Fully convolutional one-stage monocular 3d object detection
Wang, T.; Zhu, X.; Pang, J.; and Lin, D. 2021 · 2021
Later among the works it cites.
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Tian, Z.; Shen, C.; Chen, H.; and He, T. 2019 · 2019
Cited alongside, same era.
nuscenes: A multimodal dataset for autonomous driving
Caesar, H.; Bankiti, V.; Lang, A. H.; Vora, S.; Liong, V. E.; Xu, Q.; Krishnan, A.; Pan, Y.; Baldan, G.; and Beijbom, O. 2020 · 2020
Cited alongside, same era.
Cross-view semantic segmentation for sensing surroundings
Pan, B.; Sun, J.; Leung, H. Y. T.; Andonian, A.; and Zhou, B. 2020 · 2020
Cited alongside, same era.
Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d
Philion, J.; and Fidler, S. 2020 · 2020
Cited alongside, same era.
Yin, T.; Zhou, X.; and Krahenbuhl, P. 2021 · 2021
Later among the works it cites.
Bevdet4d: Exploit temporal cues in multi-camera 3d object detection
Huang, J.; and Huang, G. 2022 · 2022
Closest in time.
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection
Li, Y.; Ge, Z.; Yu, G.; Yang, J.; Wang, Z.; Shi, Y.; Sun, J.; and Li, Z. 2022 · 2022
Closest in time.
Probabilistic and geometric depth: Detecting objects in perspective
Wang, T.; Xinge, Z.; Pang, J.; and Lin, D. 2022 · 2022
Closest in time.