A Comprehensive Literature Review on Artificial Dataset Generation for Repositioning Challenges in Shared Electric Automated and Connected Mobility
In the near future, the incorporation of shared electric automated and connected mobility
(SEACM) technologies will significantly transform the landscape of transportation into a …
(SEACM) technologies will significantly transform the landscape of transportation into a …
Sbft tool competition 2023-cyber-physical systems track
We report on the organization and results of the third edition of the Cyber-Physical Systems
tool competition, held as part of the SBFT workshop. Six tools (ie, CRAG, EvoMBT, RIGAA …
tool competition, held as part of the SBFT workshop. Six tools (ie, CRAG, EvoMBT, RIGAA …
Domain knowledge distillation from large language model: An empirical study in the autonomous driving domain
Engineering knowledge-based (or expert) systems require extensive manual effort and
domain knowledge. As Large Language Models (LLMs) are trained using an enormous …
domain knowledge. As Large Language Models (LLMs) are trained using an enormous …
Assessing Quality Metrics for Neural Reality Gap Input Mitigation in Autonomous Driving Testing
SC Lambertenghi, A Stocco - arXiv preprint arXiv:2404.18577, 2024 - arxiv.org
Simulation-based testing of automated driving systems (ADS) is the industry standard, being
a controlled, safe, and cost-effective alternative to real-world testing. Despite these …
a controlled, safe, and cost-effective alternative to real-world testing. Despite these …
Causal models to support scenario-based testing of adas
R Maier, L Grabinger, D Urlhart… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In modern vehicles, system complexity and technical capabilities are constantly growing. As
a result, manufacturers and regulators are both increasingly challenged to ensure the …
a result, manufacturers and regulators are both increasingly challenged to ensure the …
Boundary State Generation for Testing and Improvement of Autonomous Driving Systems
M Biagiola, P Tonella - IEEE Transactions on Software …, 2024 - ieeexplore.ieee.org
Recent advances in Deep Neural Networks (DNNs) and sensor technologies are enabling
autonomous driving systems (ADSs) with an ever-increasing level of autonomy. However …
autonomous driving systems (ADSs) with an ever-increasing level of autonomy. However …
How does Simulation-based Testing for Self-driving Cars match Human Perception?
C Birchler, TK Mohammed, P Rani, T Nechita… - arXiv preprint arXiv …, 2024 - arxiv.org
Software metrics such as coverage and mutation scores have been extensively explored for
the automated quality assessment of test suites. While traditional tools rely on such …
the automated quality assessment of test suites. While traditional tools rely on such …
From Collision to Verdict: Responsibility Attribution for Autonomous Driving Systems Testing
Autonomous driving systems (ADS) are safety-critical systems that require thorough testing
to ensure their safety. Current testing methods for ADS primarily focus on finding crash …
to ensure their safety. Current testing methods for ADS primarily focus on finding crash …
EvoScenario: Integrating Road Structures into Critical Scenario Generation for Autonomous Driving System Testing
Autonomous Driving Systems (ADS) are safety-critical and require comprehensive testing
before their deployment on public roads. Most existing testing approaches consist in …
before their deployment on public roads. Most existing testing approaches consist in …
Simulation-based Validation for Autonomous Driving Systems
We investigate a rigorous simulation and testing-based validation method for autonomous
driving systems that integrates an existing industrial simulator and a formally defined testing …
driving systems that integrates an existing industrial simulator and a formally defined testing …