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Driving requires interacting with road agents and predicting their future behaviour in order to navigate safely.
The hungarian method for the assignment problem
H. W. Kuhn and Bryn Yaw · 1955
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Motion planning in dynamic environments using velocity obstacles
Paolo Fiorini and Zvi Shiller · 1998
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Inevitable collision states. a step towards safer robots?
Thierry Fraichard and Hajime Asama · 2003
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Detection, prediction, and avoidance of dynamic obstacles in urban environments
David Ferguson, Michael Darms, Chris Urmson, and Sascha Kolski · 2008
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Spatial transformer networks
Max Jaderberg, Karen Simonyan, Andrew Zisserman, and Koray Kavukcuoglu · 2015
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Social lstm: Human trajectory prediction in crowded spaces
Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, and Silvio Savarese · 2016
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Delving deeper into convolutional networks for learning video representations
Nicolas Ballas, Li Yao, Chris Pas, and Aaron Courville · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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A survey of motion planning and control techniques for self-driving urban vehicles
B. Paden, M. Čáp, S. Z. Yong, D. Yershov, and E. Frazzoli · 2016
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Bayesian segnet: Model uncertainty in deep convolutional encoder-decoder architectures for scene understanding
Vijay Badrinarayanan Alex Kendall and Roberto Cipolla · 2017
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Predicting scene parsing and motion dynamics in the future
Xiaojie Jin, Huaxin Xiao, Xiaohui Shen, Jimei Yang, Zhe Lin, Yunpeng Chen, Zequn Jie, Jiashi Feng, and Shuicheng Yan · 2017
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DESIRE: distant future prediction in dynamic scenes with interacting agents
Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher Bongsoo Choy, Philip H. S. Torr, and Manmohan Krishna Chandraker · 2017
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Predicting deeper into the future of semantic segmentation
Pauline Luc, Natalia Neverova, Camille Couprie, Jacob Verbeek, and Yann LeCun · 2017
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Learning in an uncertain world: Representing ambiguity through multiple hypotheses
Christian Rupprecht, Iro Laina, Robert Dipietro, Maximilian Baust, Federico Tombari, Nassir Navab, and Gregory D. Hager · 2017
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The energy of data
Gabor J. Szekely and Maria L. Rizzo · 2017
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Stochastic variational video prediction
Mohammad Babaeizadeh, Chelsea Finn, Dumitru Erhan, Roy H. Campbell, and Sergey Levine · 2018
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Intentnet: Learning to predict intention from raw sensor data
Sergio Casas, Wenjie Luo, and Raquel Urtasun · 2018
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Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
Alex Kendall, Yarin Gal, and Roberto Cipolla · 2018
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Deep continuous fusion for multi-sensor 3d object detection
Ming Liang, Bin Yang, Shenlong Wang, and Raquel Urtasun · 2018
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Fast and furious: Real time end-to-end 3d detection, tracking and motion forecasting with a single convolutional net
Wenjie Luo, Bin Yang, and Raquel Urtasun · 2018
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Pointfusion: Deep sensor fusion for 3d bounding box estimation
Danfei Xu, Dragomir Anguelov, and Ashesh Jain · 2018
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Generative adversarial frontal view to bird view synthesis
Xinge Zhu, Zhichao Yin, Jianping Shi, Hongsheng Li, and Dahua Lin · 2018
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Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction
Yuning Chai, Benjamin Sapp, Mayank Bansal, and Dragomir Anguelov · 2020
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Panoptic-deeplab: A simple, strong, and fast baseline for bottom-up panoptic segmentation
Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, and Liang-Chieh Chen · 2020
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Multixnet: Multiclass multistage multimodal motion prediction, 2020
Nemanja Djuric, Henggang Cui, Zhaoen Su, Shangxuan Wu, Huahua Wang, Fang-Chieh Chou, Luisa San Martin, Song Feng, Rui Hu, Yang Xu, Alyssa Dayan, Sidney Zhang, Brian C. Becker, Gregory P. Meyer, Carlos Vallespi-Gonzalez, and Carl K. Wellington · 2020
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Uncertainty-aware short-term motion prediction of traffic actors for autonomous driving
Nemanja Djuric, Vladan Radosavljevic, Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Nitin Singh, and Jeff Schneider · 2020
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Vectornet: Encoding hd maps and agent dynamics from vectorized representation
Jiyang Gao, Chen Sun, Hang Zhao, Yi Shen, Dragomir Anguelov, Congcong Li, and Cordelia Schmid · 2020
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Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2019
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Spatially-aware graph neural networks for relational behavior forecasting from sensor data, 2019
Sergio Casas, Cole Gulino, Renjie Liao, and Raquel Urtasun · 2019
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Multimodal trajectory predictions for autonomous driving using deep convolutional networks
Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang, Jeff Schneider, and Nemanja Djuric · 2019
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Rules of the road: Predicting driving behavior with a convolutional model of semantic interactions
Joey Hong, Benjamin Sapp, and James Philbin · 2019
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Lyft level 5 perception dataset 2020, 2019
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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Monocular Semantic Occupancy Grid Mapping With Convolutional Variational Encoder-Decoder Networks
Chenyang Lu, Marinus Jacobus Gerardus van de Molengraft, and Gijs Dubbelman · 2019
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PRECOG: prediction conditioned on goals in visual multi-agent settings
Nicholas Rhinehart, Rowan McAllister, Kris M. Kitani, and Sergey Levine · 2019
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On the benefit of adversarial training for monocular depth estimation, 2020
Rick Groenendijk, Sezer Karaoglu, T. Gevers, and Thomas Mensink · 2020
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Fishing net: Future inference of semantic heatmaps in grids
Noureldin Hendy, Cooper Sloan, Feng Tian, Pengfei Duan, Nick Charchut, Yuesong Xie, Chuang Wang, and James Philbin · 2020
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Probabilistic future prediction for video scene understanding
Anthony Hu, Fergal Cotter, Nikhil Mohan, Corina Gurau, and Alex Kendall · 2020
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Video panoptic segmentation
Dahun Kim, Sanghyun Woo, Joon-Young Lee, and In So Kweon · 2020
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Bev-seg: Bird’s eye view semantic segmentation using geometry and semantic point cloud, 2020
Mong H. Ng, Kaahan Radia, Jianfei Chen, Dequan Wang, Ionel Gog, and Joseph E. Gonzalez · 2020
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Cross-view semantic segmentation for sensing surroundings
Bowen Pan, Jiankai Sun, Ho Yin Tiga Leung, Alex Andonian, and Bolei Zhou · 2020
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Covernet: Multimodal behavior prediction using trajectory sets
Tung Phan-Minh, Elena Corina Grigore, Freddy A Boulton, Oscar Beijbom, and Eric M Wolff · 2020
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Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d
Jonah Philion and Sanja Fidler · 2020
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Predicting semantic map representations from images using pyramid occupancy networks
Thomas Roddick and Roberto Cipolla · 2020
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Liranet: End-to-end trajectory prediction using spatio-temporal radar fusion, 2020
Meet Shah, Zhiling Huang, Ankit Laddha, Matthew Langford, Blake Barber, Sidney Zhang, Carlos Vallespi-Gonzalez, and Raquel Urtasun · 2020
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Motionnet: Joint perception and motion prediction for autonomous driving based on bird’s eye view maps
Pengxiang Wu, Siheng Chen, and Dimitris N Metaxas · 2020
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Enabling spatio-temporal aggregation in birds-eye-view vehicle estimation
Avishar Saha, Oscar Mendez, Chris Russell, and Richard Bowden · 2021
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