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A Systematic Literature Review on Safety of the Intended Functionality for Automated Driving Systems
v1v2 (latest)

A Systematic Literature Review on Safety of the Intended Functionality for Automated Driving Systems

SAE technical paper series (SAE), 2025
4 March 2025
Milin Patel
Rolf Jung
M. Khatun
ArXiv (abs)PDFHTMLGithub

Papers citing "A Systematic Literature Review on Safety of the Intended Functionality for Automated Driving Systems"

14 / 14 papers shown
Engineering Safety Requirements for Autonomous Driving with Large
  Language Models
Engineering Safety Requirements for Autonomous Driving with Large Language Models
Ali Nouri
Beatriz Cabrero Daniel
Fredrik Törner
H.akan Sivencrona
Christian Berger
307
27
0
24 Mar 2024
The Safety Shell: an Architecture to Handle Functional Insufficiencies
  in Automated Driving
The Safety Shell: an Architecture to Handle Functional Insufficiencies in Automated Driving
C. Hanselaar
E. Silvas
A. Terechko
W. Heemels
400
9
0
20 Oct 2023
Deep Learning Safety Concerns in Automated Driving Perception
Deep Learning Safety Concerns in Automated Driving PerceptionIEEE Transactions on Intelligent Vehicles (TIV), 2023
Stephanie Abrecht
Alexander Hirsch
Shervin Raafatnia
Matthias Woehrle
374
21
0
07 Sep 2023
Self-Aware Trajectory Prediction for Safe Autonomous Driving
Self-Aware Trajectory Prediction for Safe Autonomous Driving
Wenbo Shao
Jun Li
Hong Wang
280
14
0
16 May 2023
On Quantification for SOTIF Validation of Automated Driving Systems
On Quantification for SOTIF Validation of Automated Driving Systems
Lina Putze
Lukas Westhofen
Tjark Koopmann
Eckard Böde
Christian Neurohr
141
8
0
20 Apr 2023
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for
  Autonomous Driving
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving
Liang Peng
Boqi Li
Wen-Hui Yu
Kailiang Yang
Wenbo Shao
Hong Wang
AAML
223
38
0
08 Nov 2022
PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in
  Long-tail Traffic Scenarios
PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in Long-tail Traffic Scenarios
Liangzu Peng
Jun Li
Wenbo Shao
Hong Wang
250
15
0
07 Nov 2022
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 SystemSoftware quality journal (SQJ), 2022
Markus Borg
Jens Henriksson
Kasper Socha
Olof Lennartsson
Elias Sonnsjo Lonegren
T. Bui
Piotr Tomaszewski
S. Sathyamoorthy
Sebastian Brink
M. H. Moghadam
302
34
0
16 Apr 2022
Scenario-Based Safety Assessment Framework for Automated Vehicles
Scenario-Based Safety Assessment Framework for Automated Vehicles
J. Ploeg
E. de Gelder
M. Slavík
E. Querner
T. Webster
N. D. Boer
191
13
0
17 Dec 2021
ViSTA: a Framework for Virtual Scenario-based Testing of Autonomous
  Vehicles
ViSTA: a Framework for Virtual Scenario-based Testing of Autonomous VehiclesInternational Conference on Artificial Intelligence Testing (ICAIT), 2021
A. Piazzoni
Jim Cherian
Mohamed Azhar
Jing Yew Yap
James Lee Wei Shung
Roshan Vijay
219
28
0
06 Sep 2021
Safety of the Intended Driving Behavior Using Rulebooks
Safety of the Intended Driving Behavior Using Rulebooks
Anne-Sophie Collin
Artur Bilka
S. Pendleton
R. D. Tebbens
289
30
0
10 May 2021
A Review of Testing Object-Based Environment Perception for Safe
  Automated Driving
A Review of Testing Object-Based Environment Perception for Safe Automated DrivingAutomotive Innovation (AI), 2021
Michael Hoss
Maike Scholtes
L. Eckstein
222
59
0
16 Feb 2021
Safety Concerns and Mitigation Approaches Regarding the Use of Deep
  Learning in Safety-Critical Perception Tasks
Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks
Oliver Willers
Sebastian Sudholt
Shervin Raafatnia
Stephanie Abrecht
296
85
0
22 Jan 2020
Testing and verification of neural-network-based safety-critical control
  software: A systematic literature review
Testing and verification of neural-network-based safety-critical control software: A systematic literature reviewInformation and Software Technology (IST), 2019
Jin Zhang
Jingyue Li
271
57
0
05 Oct 2019
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