The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Context-Based Pedestrian Path Prediction
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Citations
Cites
Histograms of Oriented Gradients for Human Detection
Dalal, N., & Triggs, B. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.177 · Cited by 33,584
You'll never walk alone: Modeling social behavior for multi-target tracking
Pellegrini, S., Ess, A., Schindler, K., & van Gool, L. (2009) · 2009 IEEE 12th International Conference on Computer Vision · doi:10.1109/iccv.2009.5459260 · Cited by 1,683 · cited 5×
“The related Linear Trajectory Avoidance model [28] for short-term path prediction uses the expected point of closest approach to foreshadow and avoid possible collisions.”
BackgroundInfluential
Cited by
Autonomous Vehicles That Interact With Pedestrians: A Survey of Theory and Practice
Rasouli, A., & Tsotsos, J. K. (2020) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2019.2901817 · Cited by 855
EuroCity Persons: A Novel Benchmark for Person Detection in Traffic Scenes
Braun, M., Krebs, S., Flohr, F., & Gavrila, D. M. (2019) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2019.2897684 · Cited by 307
Self-citationIntent Prediction of Pedestrians via Motion Trajectories Using Stacked Recurrent Neural Networks
Saleh, K., Hossny, M., & Nahavandi, S. (2018) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2018.2873901 · Cited by 103
Metadata
- Authors
- Kooij, J. F. P., Schneider, N., Flohr, F., & Gavrila, D. M.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2014
- Pages
- 618-633
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2101415982
- Cited by
- 286
- References
- 2
- FWCI
- 22.37
- Type
- conference paper
- Language
- en
- Open access
- green
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- Kooij, J. F. P., Schneider, N., Flohr, F., & Gavrila, D. M. (2014). Context-Based Pedestrian Path Prediction. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-319-10599-4_40
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
