The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data
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Caesar, H., Bankiti, V., Lang, A. H., Vora, S., Liong, V. E., Xu, Q., Krishnan, A., Pan, Y., Baldan, G., & Beijbom, O. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr42600.2020.01164 · Cited by 7,152
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Cited by
A Survey on Trajectory-Prediction Methods for Autonomous Driving
Huang, Y., Du, J., Yang, Z., Zhou, Z., Zhang, L., & Chen, H. (2022) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2022.3167103 · Cited by 677
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting
Yuan, Y., Weng, X., Ou, Y., & Kitani, K. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00967 · Cited by 631
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
Ettinger, S., Cheng, S., Caine, B., Liu, C., Zhao, H., Pradhan, S., Chai, Y., Sapp, B., Qi, C., Zhou, Y., et al. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00957 · Cited by 584
Transformer Networks for Trajectory Forecasting
Giuliari, F., Hasan, I., Cristani, M., & Galasso, F. (2021) · 2020 25th International Conference on Pattern Recognition (ICPR) · doi:10.1109/icpr48806.2021.9412190 · Cited by 572
From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting
Mangalam, K., An, Y., Girase, H., & Malik, J. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.01495 · Cited by 281
Metadata
- Authors
- Salzmann, T., Ivanovic, B., Chakravarty, P., & Pavone, M.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2020
- Pages
- 683-700
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W3032731803
- Cited by
- 1,076
- References
- 49
- FWCI
- 91.13
- Type
- conference paper
- Language
- en
- Open access
- green
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- Salzmann, T., Ivanovic, B., Chakravarty, P., & Pavone, M. (2020). Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-58523-5_40
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
