Practical Solutions for Machine Learning Safety in Autonomous Vehicles

Practical Solutions for Machine Learning Safety in Autonomous Vehicles

20 December 2019

Papers citing "Practical Solutions for Machine Learning Safety in Autonomous Vehicles"

9 / 9 papers shown

Title
Towards Robust Training Datasets for Machine Learning with Ontologies: A Case Study for Emergency Road Vehicle Detection Lynn Vonderhaar Timothy Elvira T. Procko Omar Ochoa 39 0 0 21 Jun 2024
Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components F. Arnez H. Espinoza A. Radermacher F. Terrier UQCV 21 4 0 12 Jan 2023
Unifying Evaluation of Machine Learning Safety Monitors Joris Guérin Raul Sena Ferreira Kevin Delmas Jérémie Guiochet 35 11 0 31 Aug 2022
Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake System Markus Borg Jens Henriksson Kasper Socha Olof Lennartsson Elias Sonnsjo Lonegren T. Bui Piotr Tomaszewski S. Sathyamoorthy Sebastian Brink M. H. Moghadam 35 23 0 16 Apr 2022
MPC-Friendly Commitments for Publicly Verifiable Covert Security Nitin Agrawal James Bell Adria Gascon Matt J. Kusner 26 4 0 15 Sep 2021
Shifting Transformation Learning for Out-of-Distribution Detection Sina Mohseni Arash Vahdat J. Yadawa OODD 13 7 0 07 Jun 2021
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges Kashif Ahmad Majdi Maabreh M. Ghaly Khalil Khan Junaid Qadir Ala I. Al-Fuqaha 27 142 0 14 Dec 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015