Map-based Prediction
Map-Based Prediction is a traffic participant behavior forecasting method that incorporates static and dynamic information from high-definition road maps as a primary source of contextual constraints to differentiate itself from sensor-centric or purely data-driven prediction approaches.
99
Publications
4.8K
Citations
395
Authors
176
Institutions
Publications per year
2017–2026
49
99
Raghu Ganti, Nam Pham, Hossein Ahmadi et al. · 2010 · 313 citations
HDNET: Exploiting HD Maps for 3D Object Detection
Bin Yang, Ming Liang, Raquel Urtasun · arXiv (Cornell University) · 2020 · 244 citations · Full text
ETA Prediction with Graph Neural Networks in Google Maps
Austin Derrow-Pinion, Jennifer She, David Wong et al. · 2021 · 201 citations · Full text
1–5 of 99
395
University of Illinois Urbana-Champaign, United States
2 publications · 330 citations
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1–5 of 395
176

Chinese Academy of Sciences
Beijing, China
3 h-index
6 publications
116 citations
Daimler (Germany)
Stuttgart, Germany
3 h-index
9 publications
356 citations
Colorado State University
Fort Collins, United States
2 h-index
8 publications
112 citations
KU Leuven
Leuven, Belgium
2 h-index
1 publications
11 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
4 publications
240 citations
Simon Fraser University
Burnaby, Canada
2 h-index
5 publications
587 citations
Robert Bosch (Germany)
Stuttgart, Germany
2 h-index
3 publications
77 citations

Queensland University of Technology
Brisbane, Australia
2 h-index
7 publications
224 citations
1–8 of 176
Repository · 5 publications · 512 citations
5
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2 publications · 96 citations
2
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2 publications · 250 citations
2
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Conference · 1 publications · 11 citations
1
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1 publications · 22 citations
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