Finding critical scenarios for automated driving systems: A systematic mapping study
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 …
and engineering of automated driving systems. Due to the complexity and uncertainty of the …
Scenario-based test automation for highly automated vehicles: A review and paving the way for systematic safety assurance
Highly Automated Vehicles (HAVs) must undergo strict safety testing before being released
to the public. Mileage-based on-road testing suffers from unaffordable time costs and high …
to the public. Mileage-based on-road testing suffers from unaffordable time costs and high …
Av-fuzzer: Finding safety violations in autonomous driving systems
This paper proposes AV-FUZZER, a testing framework, to find the safety violations of an
autonomous vehicle (AV) in the presence of an evolving traffic environment. We perturb the …
autonomous vehicle (AV) in the presence of an evolving traffic environment. We perturb the …
A survey on automated driving system testing: Landscapes and trends
Automated Driving Systems (ADS) have made great achievements in recent years thanks to
the efforts from both academia and industry. A typical ADS is composed of multiple modules …
the efforts from both academia and industry. A typical ADS is composed of multiple modules …
Generating avoidable collision scenarios for testing autonomous driving systems
Automated and autonomous driving systems (ADS) are a transformational technology in the
mobility sector. Current practice for testing ADS uses virtual tests in computer simulations; …
mobility sector. Current practice for testing ADS uses virtual tests in computer simulations; …
A survey on data-driven scenario generation for automated vehicle testing
Automated driving is a promising tool for reducing traffic accidents. While some companies
claim that many cutting-edge automated driving functions have been developed, how to …
claim that many cutting-edge automated driving functions have been developed, how to …
Efficient and effective feature space exploration for testing deep learning systems
Assessing the quality of Deep Learning (DL) systems is crucial, as they are increasingly
adopted in safety-critical domains. Researchers have proposed several input generation …
adopted in safety-critical domains. Researchers have proposed several input generation …
Finding critical scenarios for automated driving systems: A systematic literature review
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 …
and engineering of automated driving systems. Due to the complexity and uncertainty of the …
Learning configurations of operating environment of autonomous vehicles to maximize their collisions
Autonomous vehicles must operate safely in their dynamic and continuously-changing
environment. However, the operating environment of an autonomous vehicle is complicated …
environment. However, the operating environment of an autonomous vehicle is complicated …
Doppelgänger test generation for revealing bugs in autonomous driving software
Vehicles controlled by autonomous driving software (ADS) are expected to bring many
social and economic benefits, but at the current stage not being broadly used due to …
social and economic benefits, but at the current stage not being broadly used due to …