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

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

22 March 2019

Wei Zhan

Masayoshi Tomizuka

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

9 / 9 papers shown

Title
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions Vibha Bharilya Neetesh Kumar 31 47 0 12 Jul 2023
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction Masha Itkina Mykel J. Kochenderfer EDL UQCV 26 26 0 16 Nov 2022
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction Yeping Hu Xiaogang Jia Masayoshi Tomizuka Wei Zhan OOD 40 25 0 03 Dec 2021
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling Chen Tang Wei Zhan Masayoshi Tomizuka DRL 31 19 0 01 Dec 2021
Dynamic Inference Aolin Xu 31 0 0 29 Nov 2021
A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior Kyle Brown Katherine Driggs-Campbell Mykel J. Kochenderfer 22 19 0 15 Jun 2020
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction Yeping Hu Wei Zhan Masayoshi Tomizuka 26 36 0 07 Apr 2020
Interpretable Modelling of Driving Behaviors in Interactive Driving Scenarios based on Cumulative Prospect Theory Liting Sun Wei Zhan Yeping Hu Masayoshi Tomizuka 14 33 0 19 Jul 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015