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Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction
Accurately predicting the possible behaviors of traffic participants is ...
04/07/2020 ∙ by Yeping Hu, et al. ∙
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Multi-agent Interactive Prediction under Challenging Driving Scenarios
In order to drive safely on the road, autonomous vehicle is expected to ...
09/24/2019 ∙ by Weihao Xuan, et al. ∙
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Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving
Accurately tracking and predicting behaviors of surrounding objects are ...
08/23/2019 ∙ by Jiachen Li, et al. ∙
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Generic Prediction Architecture Considering both Rational and Irrational Driving Behaviors
Accurately predicting future behaviors of surrounding vehicles is an ess...
07/23/2019 ∙ by Yeping Hu, et al. ∙
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Interpretable Modelling of Driving Behaviors in Interactive Driving Scenarios based on Cumulative Prospect Theory
Understanding human driving behavior is important for autonomous vehicle...
07/19/2019 ∙ by Liting Sun, et al. ∙
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Interaction-aware Decision Making with Adaptive Strategies under Merging Scenarios
In order to drive safely and efficiently under merging scenarios, autono...
04/12/2019 ∙ by Yeping Hu, et al. ∙
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Multi-modal Probabilistic Prediction of Interactive Behavior via an Interpretable Model
For autonomous agents to successfully operate in real world, the ability...
03/22/2019 ∙ by Yeping Hu, et al. ∙
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A Framework for Probabilistic Generic Traffic Scene Prediction
In a given scenario, simultaneously and accurately predicting every poss...
10/30/2018 ∙ by Yeping Hu, et al. ∙
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Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios
Autonomous vehicles should be able to generate accurate probabilistic pr...
09/10/2018 ∙ by Wei Zhan, et al. ∙
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Probabilistic Prediction of Vehicle Semantic Intention and Motion
Accurately predicting the possible behaviors of traffic participants is ...
04/10/2018 ∙ by Yeping Hu, et al. ∙
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