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04/01/2023
Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh Physics
Data-driven modeling approaches can produce fast surrogates to study lar...
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03/24/2023
Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation
Traffic simulation plays a crucial role in evaluating and improving auto...
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08/09/2022
Analyzing and Enhancing Closed-loop Stability in Reactive Simulation
Simulation has played an important role in efficiently evaluating self-d...
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08/06/2022
Generalizability Analysis of Graph-based Trajectory Predictor with Vectorized Representation
Trajectory prediction is one of the essential tasks for autonomous vehic...
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02/10/2022
Transferable and Adaptable Driving Behavior Prediction
While autonomous vehicles still struggle to solve challenging situations...
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12/09/2021
Online Adaptation of Neural Network Models by Modified Extended Kalman Filter for Customizable and Transferable Driving Behavior Prediction
High fidelity behavior prediction of human drivers is crucial for effici...
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12/03/2021
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction
Accurately predicting possible behaviors of traffic participants is an e...
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11/01/2021
Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction
When autonomous vehicles still struggle to solve challenging situations ...
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04/07/2020
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction
Accurately predicting the possible behaviors of traffic participants is ...
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09/24/2019
Multi-agent Interactive Prediction under Challenging Driving Scenarios
In order to drive safely on the road, autonomous vehicle is expected to ...
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08/23/2019
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving
Accurately tracking and predicting behaviors of surrounding objects are ...
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07/23/2019
Generic Prediction Architecture Considering both Rational and Irrational Driving Behaviors
Accurately predicting future behaviors of surrounding vehicles is an ess...
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07/19/2019
Interpretable Modelling of Driving Behaviors in Interactive Driving Scenarios based on Cumulative Prospect Theory
Understanding human driving behavior is important for autonomous vehicle...
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04/12/2019
Interaction-aware Decision Making with Adaptive Strategies under Merging Scenarios
In order to drive safely and efficiently under merging scenarios, autono...
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03/22/2019
Multi-modal Probabilistic Prediction of Interactive Behavior via an Interpretable Model
For autonomous agents to successfully operate in real world, the ability...
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10/30/2018
A Framework for Probabilistic Generic Traffic Scene Prediction
In a given scenario, simultaneously and accurately predicting every poss...
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09/10/2018
Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios
Autonomous vehicles should be able to generate accurate probabilistic pr...
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04/10/2018
