Probabilistic Metamodels for an Efficient Characterization of Complex Driving Scenarios

6 October 2021

Papers citing "Probabilistic Metamodels for an Efficient Characterization of Complex Driving Scenarios"

5 / 5 papers shown

Title
Flow to Rare Events: An Application of Normalizing Flow in Temporal Importance Sampling for Automated Vehicle Validation Yichun Ye He Zhang Ye Tian Jian-jun Sun 30 0 0 10 Jul 2024
Vectorized Scenario Description and Motion Prediction for Scenario-Based Testing Max Winkelmann Constantin Vasconi Steffen Müller 8 2 0 02 Feb 2023
Transfer Importance Sampling -- How Testing Automated Vehicles in Multiple Test Setups Helps With the Bias-Variance Tradeoff Max Winkelmann Constantin Vasconi Steffen Müller 9 4 0 15 Apr 2022
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems Aman Sinha Matthew O'Kelly Russ Tedrake John C. Duchi 33 46 0 24 Aug 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016