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Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction


Apr 07, 2020
Yeping Hu, Wei Zhan, Masayoshi Tomizuka

* 16 pages, 10 figures 

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Multi-agent Interactive Prediction under Challenging Driving Scenarios


Sep 24, 2019
Weihao Xuan, Ruijie Ren, Yeping Hu

* submitted to ICRA 2020 

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Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving


Aug 23, 2019
Jiachen Li, Wei Zhan, Yeping Hu, Masayoshi Tomizuka

* IEEE Transactions on Intelligent Transportation Systems 

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Generic Prediction Architecture Considering both Rational and Irrational Driving Behaviors


Jul 23, 2019
Yeping Hu, Liting Sun, Masayoshi Tomizuka

* Accepted by 2019 IEEE Intelligent Transportation Systems Conference (ITSC) 

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Interpretable Modelling of Driving Behaviors in Interactive Driving Scenarios based on Cumulative Prospect Theory


Jul 19, 2019
Liting Sun, Wei Zhan, Yeping Hu, Masayoshi Tomizuka

* accepted to the 2019 IEEE Intelligent Transportation System Conference (ITSC2019) 

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Interaction-aware Decision Making with Adaptive Strategies under Merging Scenarios


Apr 12, 2019
Yeping Hu, Alireza Nakhaei, Masayoshi Tomizuka, Kikuo Fujimura

* submitted to IROS 2019 

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Multi-modal Probabilistic Prediction of Interactive Behavior via an Interpretable Model


Mar 22, 2019
Yeping Hu, Wei Zhan, Masayoshi Tomizuka

* submitted to 2019 IEEE Intelligent Vehicles Symposium (IV) 

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A Framework for Probabilistic Generic Traffic Scene Prediction


Oct 30, 2018
Yeping Hu, Wei Zhan, Masayoshi Tomizuka

* 2018 IEEE 21st International Conference on Intelligent Transportation Systems (ITSC) 

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Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios


Sep 10, 2018
Wei Zhan, Liting Sun, Yeping Hu, Jiachen Li, Masayoshi Tomizuka

* 2018 IEEE 21st International Conference on Intelligent Transportation Systems (ITSC) 

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Probabilistic Prediction of Vehicle Semantic Intention and Motion


Apr 10, 2018
Yeping Hu, Wei Zhan, Masayoshi Tomizuka

* This paper has been submitted to the 2018 IEEE Intelligent Vehicles (IV) Symposium 

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