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RTGNN: A Novel Approach to Model Stochastic Traffic Dynamics
21 February 2022
Ke Sun
Stephen M. Chaves
Paul D. Martin
Vijay R. Kumar
GNN
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Papers citing
"RTGNN: A Novel Approach to Model Stochastic Traffic Dynamics"
7 / 7 papers shown
Title
InterSim: Interactive Traffic Simulation via Explicit Relation Modeling
Q. Sun
Xin Huang
B. Williams
Hang Zhao
27
36
0
26 Oct 2022
Identifying Driver Interactions via Conditional Behavior Prediction
Ekaterina V. Tolstaya
R. Mahjourian
Carlton Downey
Balakrishnan Varadarajan
Benjamin Sapp
Drago Anguelov
117
71
0
20 Apr 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data
Sergio Casas
Wenjie Luo
R. Urtasun
3DPC
152
365
0
20 Jan 2021
What-If Motion Prediction for Autonomous Driving
Siddhesh Khandelwal
William Qi
Jagjeet Singh
Andrew Hartnett
Deva Ramanan
114
115
0
24 Aug 2020
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Sergio Casas
Cole Gulino
Simon Suo
Katie Z Luo
Renjie Liao
R. Urtasun
147
155
0
23 Jul 2020
Efficient Uncertainty-aware Decision-making for Automated Driving Using Guided Branching
Lu Zhang
Wenchao Ding
Jia Chen
Shaojie Shen
31
37
0
05 Mar 2020
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data
Sergio Casas
Cole Gulino
Renjie Liao
R. Urtasun
AI4CE
166
211
0
18 Oct 2019
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