Safety Testing of Automated Driving Systems: A Literature Review
IEEE Access, 2023 The advancement of automation in safety-critical systems has opened the door to newer opportunities in several fields. However, the increasing complexity has led to more risks and the need for better safety assessment. Safety testing of Automated Driving
Fauzia Khan +3 more
doaj +2 more sources
Leveraging the GIDAS Database for the Criticality Analysis of Automated Driving Systems
Journal of Advanced Transportation, 2023 A safe introduction of automated driving systems on urban roads requires a thorough understanding of the traffic conflicts and accidents. This understanding is paramount to constructively safeguard these systems, i.e., to design a system that exhibits an
Stefan Babisch +4 more
doaj +2 more sources
The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems [PDF]
International Conference on Intelligent Transportation Systems, 2018 Scenario-based testing for the safety validation of highly automated vehicles is a promising approach that is being examined in research and industry.
Bock, Julian +3 more
core +2 more sources
IEEE Open Journal of Intelligent Transportation Systems, 2022 The objective of this paper is to propose a methodology to estimate nationwide traffic safety impacts of automated vehicle technologies using multi-agent traffic simulations.
Sou Kitajima +4 more
doaj +2 more sources
Automated repair of feature interaction failures in automated driving systems [PDF]
Proceedings of the 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020 In the past years, several automated repair strategies have been proposed to fix bugs in individual software programs without any human intervention. There has been, however, little work on how automated repair techniques can resolve failures that arise at the system-level and are caused by undesired interactions among different system components or ...
Ben Abdessalem, Raja +4 more
openaire +4 more sources
Realising Meaningful Human Control Over Automated Driving Systems: A Multidisciplinary Approach. [PDF]
Minds Mach (Dordr), 2022 The paper presents a framework to realise “meaningful human control” over Automated Driving Systems. The framework is based on an original synthesis of the results of the multidisciplinary research project “Meaningful Human Control over Automated Driving
de Sio FS +5 more
europepmc +2 more sources
Configurable Sensor Model Architecture for the Development of Automated Driving Systems. [PDF]
Sensors (Basel), 2021 Sensor models provide the required environmental perception information for the development and testing of automated driving systems in virtual vehicle environments. In this article, a configurable sensor model architecture is introduced.
Schmidt S +3 more
europepmc +2 more sources
On Quantification for SOTIF Validation of Automated Driving Systems [PDF]
2023 IEEE Intelligent Vehicles Symposium (IV), 2023 Automated driving systems are safety-critical cyber-physical systems whose safety of the intended functionality (SOTIF) can not be assumed without proper argumentation based on appropriate evidences.
Lina Putze +4 more
semanticscholar +1 more source
Finding Critical Scenarios for Automated Driving Systems: A Systematic Mapping Study
IEEE Transactions on Software Engineering, 2023 Scenario-based approaches have been receiving a huge amount of attention in research and engineering of automated driving systems. Due to the complexity and uncertainty of the driving environment, and the complexity of the driving task itself, the number
Xinhai Zhang +11 more
semanticscholar +1 more source
Early Lane Change Prediction for Automated Driving Systems Using Multi-Task Attention-Based Convolutional Neural Networks [PDF]
IEEE Transactions on Intelligent Vehicles, 2021 Lane change (LC) is one of the safety-critical manoeuvres in highway driving according to various road accident records. Thus, reliably predicting such manoeuvre in advance is critical for the safe and comfortable operation of automated driving systems ...
Sajjad Mozaffari +3 more
semanticscholar +1 more source