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Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a
  Pedestrian Automatic Emergency Brake System

Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake System

16 April 2022
Markus Borg
Jens Henriksson
Kasper Socha
Olof Lennartsson
Elias Sonnsjo Lonegren
T. Bui
Piotr Tomaszewski
S. Sathyamoorthy
Sebastian Brink
M. H. Moghadam
ArXivPDFHTML

Papers citing "Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake System"

4 / 4 papers shown
Title
A Systematic Literature Review on Safety of the Intended Functionality for Automated Driving Systems
A Systematic Literature Review on Safety of the Intended Functionality for Automated Driving Systems
Milin Patel
Rolf Jung
M. Khatun
67
0
0
04 Mar 2025
System Safety Monitoring of Learned Components Using Temporal Metric
  Forecasting
System Safety Monitoring of Learned Components Using Temporal Metric Forecasting
Sepehr Sharifi
Andrea Stocco
Lionel C. Briand
AI4TS
40
1
0
21 May 2024
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
Ruben Grewal
Paolo Tonella
Andrea Stocco
40
10
0
29 Apr 2024
Connected Dependability Cage Approach for Safe Automated Driving
Connected Dependability Cage Approach for Safe Automated Driving
Adina Aniculaesei
I. Aslam
Daniel Bamal
Felix Helsch
Andreas Vorwald
Meng Zhang
Andreas Rausch
7
0
0
12 Jul 2023
1