Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification

Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification

29 April 2024

Paolo Tonella

Papers citing "Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification"

8 / 8 papers shown

Title
GAN-enhanced Simulation-driven DNN Testing in Absence of Ground Truth M. Attaoui F. Pastore 33 0 0 20 Mar 2025
Hybrid Video Anomaly Detection for Anomalous Scenarios in Autonomous Driving Daniel Bogdoll Jan Imhof Tim Joseph J. Marius Zöllner J. Marius Zöllner 36 0 0 10 Jun 2024
System Safety Monitoring of Learned Components Using Temporal Metric Forecasting Sepehr Sharifi Andrea Stocco Lionel C. Briand AI4TS 40 1 0 21 May 2024
A Comprehensive Survey on Rare Event Prediction Chathurangi Shyalika Ruwan Wickramarachchi A. Sheth AI4TS 16 14 0 20 Sep 2023
Two is Better Than One: Digital Siblings to Improve Autonomous Driving Testing Matteo Biagiola Andrea Stocco Vincenzo Riccio Paolo Tonella 23 9 0 14 May 2023
Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring Michael Weiss Paolo Tonella AAML 35 29 0 01 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015