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We propose a Deep RObust Goal-Oriented trajectory prediction Network (DROGON) for accurate vehicle trajectory prediction by considering behavioral intentions of vehicles in traffic scenes.
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Sequence-to-sequence prediction of vehicle trajectory via lstm encoder-decoder architecture
S. H. Park, B. Kim, C. M. Kang, C. C. Chung, and J. W. Choi · 2018
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Ss-lstm: A hierarchical lstm model for pedestrian trajectory prediction
H. Xue, D. Q. Huynh, and M. Reynolds · 2018
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The apolloscape dataset for autonomous driving
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Car-net: Clairvoyant attentive recurrent network
A. Sadeghian, F. Legros, M. Voisin, R. Vesel, A. Alahi, and S. Savarese · 2018
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Y. Yao, M. Xu, C. Choi, D. J. Crandall, E. M. Atkins, and B. Dariush · 2019
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Uncertainty-aware driver trajectory prediction at urban intersections
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H. Bi, Z. Fang, T. Mao, Z. Wang, and Z. Deng · 2019
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Sophie: An attentive gan for predicting paths compliant to social and physical constraints
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Social-bigat: Multimodal trajectory forecasting using bicycle-gan and graph attention networks
V. Kosaraju, A. Sadeghian, R. Martín-Martín, I. Reid, H. Rezatofighi, and S. Savarese · 2019
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It is not the journey but the destination: Endpoint conditioned trajectory prediction
K. Mangalam, H. Girase, S. Agarwal, K.-H. Lee, E. Adeli, J. Malik, and A. Gaidon · 2020
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I. Dwivedi, S. Malla, B. Dariush, and C. Choi · 2020
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X. Huang, S. McGill, B. C. Williams, L. Fletcher, and G. Rosman · 2019
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Trafficpredict: Trajectory prediction for heterogeneous traffic-agents
Y. Ma, X. Zhu, S. Zhang, R. Yang, W. Wang, and D. Manocha · 2019
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Argoverse: 3d tracking and forecasting with rich maps
M.-F. Chang, J. Lambert, P. Sangkloy, J. Singh, S. Bak, A. Hartnett, D. Wang, P. Carr, S. Lucey, D. Ramanan, et al · 2019
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Multiple futures prediction
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Looking to relations for future trajectory forecast
C. Choi and B. Dariush · 2019
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Precog: Prediction conditioned on goals in visual multi-agent settings
N. Rhinehart, R. McAllister, K. Kitani, and S. Levine · 2019
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Non-local social pooling for vehicle trajectory prediction
K. Messaoud, I. Yahiaoui, A. Verroust-Blondet, and F. Nashashibi · 2019
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T. Salzmann, B. Ivanovic, P. Chakravarty, and M. Pavone · 2020
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Tnt: Target-driven trajectory prediction
H. Zhao, J. Gao, T. Lan, C. Sun, B. Sapp, B. Varadarajan, Y. Shen, Y. Shen, Y. Chai, C. Schmid, et al · 2020
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Y. Chai, B. Sapp, M. Bansal, and D. Anguelov · 2020
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nuscenes: A multimodal dataset for autonomous driving
H. Caesar, V. Bankiti, A. H. Lang, S. Vora, V. E. Liong, Q. Xu, A. Krishnan, Y. Pan, G. Baldan, and O. Beijbom · 2020
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Scalability in perception for autonomous driving: Waymo open dataset
P. Sun, H. Kretzschmar, X. Dotiwalla, A. Chouard, V. Patnaik, P. Tsui, J. Guo, Y. Zhou, Y. Chai, B. Caine, et al · 2020
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What the constant velocity model can teach us about pedestrian motion prediction
C. Schöller, V. Aravantinos, F. Lay, and A. Knoll · 2020
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Collaborative motion prediction via neural motion message passing
Y. Hu, S. Chen, Y. Zhang, and X. Gu · 2020
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Social-stgcnn: A social spatio-temporal graph convolutional neural network for human trajectory prediction
A. Mohamed, K. Qian, M. Elhoseiny, and C. Claudel · 2020
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