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Accurate 7DoF prediction of vehicles at an intersection is an important task for assessing potential conflicts between road users.
Xingyi Zhou, Dequan Wang, and Philipp Krähenbühl · 1904
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Monocular 3d object detection via geometric reasoning on keypoints
Ivan Barabanau, Alexey Artemov, Evgeny Burnaev, and Vyacheslav Murashkin · 1905
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Monocular 3d object detection and box fitting trained end-to-end using intersection-over-union loss
Eskil Jörgensen, Christopher Zach, and Fredrik Kahl · 1906
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RTM3D: real-time monocular 3d detection from object keypoints for autonomous driving
Peixuan Li, Huaici Zhao, Pengfei Liu, and Feidao Cao · 2001
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Automated classification based on video data at intersections with heavy pedestrian and bicycle traffic: Methodology and application
Sohail Zangenehpour, Luis F. Miranda-Moreno, and Nicolas Saunier · 2015
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Xiaozhi Chen, Kaustav Kundu, Ziyu Zhang, Huimin Ma, Sanja Fidler, and Raquel Urtasun · 2016
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Ravi Garg, Vijay Kumar B.G., Gustavo Carneiro, and Ian Reid · 2016
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Deep manta: A coarse-to-fine many-task network for joint 2d and 3d vehicle analysis from monocular image
Florian Chabot, Mohamed Chaouch, Jaonary Rabarisoa, Céline Teulière, and Thierry Chateau · 2017
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Towards a comprehensive safety evaluation of cycling infrastructure including objective and subjective measures
Thomas Götschi, Alberto Castro, Manja Deforth, Luis Miranda-Moreno, and Sohail Zangenehpour · 2017
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3d bounding box estimation using deep learning and geometry
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Tomas Simon, Hanbyul Joo, Iain Matthews, and Yaser Sheikh · 2017
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Tatjana Chavdarova, Pierre Baqué, Stéphane Bouquet, Andrii Maksai, Cijo Jose, Timur Bagautdinov, Louis Lettry, Pascal Fua, Luc Van Gool, and François Fleuret · 2018
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N. Dinesh Reddy, Minh Vo, and Srinivasa G. Narasimhan · 2018
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R. Kesten, M. Usman, J. Houston, T. Pandya, K. Nadhamuni, A. Ferreira, M. Yuan, B. Low, A. Jain, P. Ondruska, S. Omari, S. Shah, A. Kulkarni, A. Kazakova, C. Tao, L. Platinsky, W. Jiang, and V. Shet · 2019
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Deep fitting degree scoring network for monocular 3d object detection
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Is that move safe? case study of cyclist movements at intersections with cycling discontinuities
Matin S. Nabavi Niaki, Nicolas Saunier, and Luis F. Miranda-Moreno · 2019
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Shift r-cnn: Deep monocular 3d object detection with closed-form geometric constraints
Andretti Naiden, Vlad Paunescu, Gyeongmo Kim, ByeongMoon Jeon, and Marius Leordeanu · 2019
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Thierry Malon, Christine Senac, G. Roman-Jimenez, Patrice Guyot, Sylvie Chambon, Vincent Charvillat, Alain Crouzil, André Péninou, Julien Pinquier, and Florence Sedes · 2018
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Helge Rhodin, Jörg Spörri, Isinsu Katircioglu, Victor Constantin, Frédéric Meyer, Erich Müller, Mathieu Salzmann, and Pascal Fua · 2018
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Deep layer aggregation
Fisher Yu, Dequan Wang, Evan Shelhamer, and Trevor Darrell · 2018
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Waymo open dataset: An autonomous driving dataset, 2019
2019
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M3d-rpn: Monocular 3d region proposal network for object detection
Garrick Brazil and Xiaoming Liu · 2019
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nuscenes: A multimodal dataset for autonomous driving
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Multi-view reprojection architecture for orientation estimation
Hee Min Choi, Hyoa Kang, and Yoonsuk Hyun · 2019
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Generalized intersection over union
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Disentangling monocular 3d object detection
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MMDetection3D: OpenMMLab next-generation platform for general 3D object detection
MMDetection3D Contributors · 2020
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Learning depth-guided convolutions for monocular 3d object detection
Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, and Ping Luo · 2020
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Weakly-supervised 3d human pose learning via multi-view images in the wild
Umar Iqbal, Pavlo Molchanov, and Jan Kautz · 2020
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Smoke: Single-stage monocular 3d object detection via keypoint estimation
Zechen Liu, Zizhang Wu, and Roland Tóth · 2020
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Tracking objects as points
Xingyi Zhou, Vladlen Koltun, and Philipp Krähenbühl · 2020
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Monogrnet: A general framework for monocular 3d object detection
Zengyi Qin, Jinglu Wang, and Yan Lu · 2021
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