Scene-aware Prediction
Scene-Aware Prediction is a predictive modeling approach that integrates contextual environmental information, such as static infrastructure and dynamic interactions among entities, to enhance the accuracy and realism of future state forecasts for traffic participants within a given traffic scenario.
51
Publications
3.3K
Citations
192
Authors
70
Institutions
Publications per year
2017–2026
40
51
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
Namhoon Lee, Wongun Choi, Paul Vernaza et al. · 2017 · 1.1K citations
Predicting and Understanding Urban Perception with Convolutional Neural Networks
Lorenzo Porzi, Samuel Rota Bulò, Bruno Lepri et al. · 2015 · 144 citations
Scene-LSTM: A Model for Human Trajectory Prediction
Huynh Manh, Gita Alaghband · arXiv (Cornell University) · 2018 · 99 citations · Full text
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70
Honda (Germany)
Frankfurt am Main, Germany
5 h-index
10 publications
243 citations
University of Oxford
Oxford, United Kingdom
4 h-index
8 publications
2.6K citations
Stanford University
Stanford, United States
4 h-index
13 publications
2.1K citations
Bielefeld University
Bielefeld, Germany
4 h-index
8 publications
210 citations
University of California San Diego
San Diego, United States
3 h-index
5 publications
1.2K citations
NEC (United States)
Irving, United States
3 h-index
9 publications
3.4K citations

Chinese Academy of Sciences
Beijing, China
2 h-index
3 publications
109 citations
Peng Cheng Laboratory
Shenzhen, China
2 h-index
3 publications
76 citations
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Repository · 9 publications · 323 citations
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4 publications · 247 citations
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2 publications · 44 citations
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2 publications · 59 citations
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TVCG · 1 publications · 25 citations
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