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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"

9 / 9 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
GDFlow: Anomaly Detection with NCDE-based Normalizing Flow for Advanced
  Driver Assistance System
GDFlow: Anomaly Detection with NCDE-based Normalizing Flow for Advanced Driver Assistance System
Kangjun Lee
Minha Kim
Youngho Jun
Simon S. Woo
36
1
0
09 Sep 2024
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier
  Logits
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits
Mateusz Ochal
Massimiliano Patacchiola
Malik Boudiaf
Sen Wang
27
0
0
04 Aug 2024
Comparing Optical Flow and Deep Learning to Enable Computationally
  Efficient Traffic Event Detection with Space-Filling Curves
Comparing Optical Flow and Deep Learning to Enable Computationally Efficient Traffic Event Detection with Space-Filling Curves
Tayssir Bouraffa
Elias Kjellberg Carlson
Erik Wessman
Ali Nouri
Pierre Lamart
Christian Berger
16
0
0
15 Jul 2024
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
Evaluation of Out-of-Distribution Detection Performance on Autonomous
  Driving Datasets
Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets
Jens Henriksson
C. Berger
Stig Ursing
Markus Borg
OODD
14
2
0
30 Jan 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
12
0
0
12 Jul 2023
Machine Learning Testing in an ADAS Case Study Using
  Simulation-Integrated Bio-Inspired Search-Based Testing
Machine Learning Testing in an ADAS Case Study Using Simulation-Integrated Bio-Inspired Search-Based Testing
M. H. Moghadam
Markus Borg
Mehrdad Saadatmand
Seyed Jalaleddin Mousavirad
M. Bohlin
B. Lisper
13
10
0
22 Mar 2022
1