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Predicting future trajectories of road agents is a critical task for autonomous driving.
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2019
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F.-C. Chou, T.-H. Lin, H. Cui, V. Radosavljevic, T. Nguyen, T.-K. Huang, M. Niedoba, J. Schneider, and N. Djuric, “Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets,” in 2020 IEEE Intelligent Vehicles Symposium (IV) . IEEE, 2020, pp. 1655–1662
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A. Wang, T. Kurutach, K. Liu, P. Abbeel, and A. Tamar, “Learning Robotic Manipulation through Visual Planning and Acting,” in Robotics: science and systems , 2019
2019
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2019
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J. Hong, B. Sapp, and J. Philbin, “Rules of the Road: Predicting Driving Behavior with a Convolutional model of Semantic Interactions,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2019, pp. 8454–8462
2019
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M.-F. Chang, J. Lambert, P. Sangkloy, J. Singh, S. Bak, A. Hartnett, D. Wang, P. Carr, S. Lucey, D. Ramanan et al. , “Argoverse: 3D Tracking and Forecasting with Rich Maps,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2019, pp. 8748–8757
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2020
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2020
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Y. Chai, B. Sapp, M. Bansal, and D. Anguelov, “Multipath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction,” in Conference on Robot Learning . PMLR, 2020, pp. 86–99
2020
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2021
Later among the works it cites.
A. Jasour, W. Han, and B. Williams, “Convex Risk Bounded Continuous-Time Trajectory Planning in Uncertain Nonconvex Environments,” Robotics: Science and Systems (RSS) , 2021
2021
Later among the works it cites.
W. Zeng, M. Liang, R. Liao, and R. Urtasun, “LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting,” in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2021, pp. 532–539
2021
Later among the works it cites.
2021
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H. Zhao, J. Gao, T. Lan, C. Sun, B. Sapp, B. Varadarajan, Y. Shen, Y. Shen, Y. Chai, C. Schmid et al. , “TNT: Target-driveN Trajectory Prediction,” in Conference on Robot Learning . PMLR, 2021, pp. 895–904
2021
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2021
Later among the works it cites.
2021
Later among the works it cites.
H. Song, D. Luan, W. Ding, M. Y. Wang, and Q. Chen, “Learning to Predict Vehicle Trajectories with Model-based Planning,” in Conference on Robot Learning . PMLR, 2022, pp. 1035–1045
2022
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H. Cui, V. Radosavljevic, F.-C. Chou, T.-H. Lin, T. Nguyen, T.-K. Huang, J. Schneider, and N. Djuric, “Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks,” in 2019 International Conference on Robotics and Automation (ICRA) . IEEE, 2019, pp. 2090–2096
2096
Closest in time.