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RTGNN: A Novel Approach to Model Stochastic Traffic Dynamics

RTGNN: A Novel Approach to Model Stochastic Traffic Dynamics

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
InterSim: Interactive Traffic Simulation via Explicit Relation Modeling
Q. Sun
Xin Huang
B. Williams
Hang Zhao
35
36
0
26 Oct 2022
Identifying Driver Interactions via Conditional Behavior Prediction
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
IntentNet: Learning to Predict Intention from Raw Sensor Data
Sergio Casas
Wenjie Luo
R. Urtasun
3DPC
154
365
0
20 Jan 2021
What-If Motion Prediction for Autonomous Driving
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
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Sergio Casas
Cole Gulino
Simon Suo
Katie Z Luo
Renjie Liao
R. Urtasun
149
155
0
23 Jul 2020
Efficient Uncertainty-aware Decision-making for Automated Driving Using Guided Branching
Efficient Uncertainty-aware Decision-making for Automated Driving Using Guided Branching
Lu Zhang
Wenchao Ding
Jia Chen
Shaojie Shen
34
37
0
05 Mar 2020
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data
Sergio Casas
Cole Gulino
Renjie Liao
R. Urtasun
AI4CE
174
211
0
18 Oct 2019