Survey on scenario-based safety assessment of automated vehicles
When will automated vehicles come onto the market? This question has puzzled the
automotive industry and society for years. The technology and its implementation have …
automotive industry and society for years. The technology and its implementation have …
Finding critical scenarios for automated driving systems: A systematic map** 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 …
Criticality metrics for automated driving: A review and suitability analysis of the state of the art
The large-scale deployment of automated vehicles on public roads has the potential to
vastly change the transportation modalities of today's society. Although this pursuit has been …
vastly change the transportation modalities of today's society. Although this pursuit has been …
[HTML][HTML] Systems approach to creating test scenarios for automated driving systems
S Khastgir, S Brewerton, J Thomas… - Reliability engineering & …, 2021 - Elsevier
Increased safety has been advocated as one of the major benefits of the introduction of
Automated Driving Systems (ADSs). Incorporation of ADSs in vehicles means that …
Automated Driving Systems (ADSs). Incorporation of ADSs in vehicles means that …
Software verification and validation of safe autonomous cars: A systematic literature review
Autonomous, or self-driving, cars are emerging as the solution to several problems primarily
caused by humans on roads, such as accidents and traffic congestion. However, those …
caused by humans on roads, such as accidents and traffic congestion. However, those …
A survey on scenario-based testing for automated driving systems in high-fidelity simulation
Automated Driving Systems (ADSs) have seen rapid progress in recent years. To ensure the
safety and reliability of these systems, extensive testings are being conducted before their …
safety and reliability of these systems, extensive testings are being conducted before their …
Artificial intelligence for safety-critical systems in industrial and transportation domains: A survey
Artificial Intelligence (AI) can enable the development of next-generation autonomous safety-
critical systems in which Machine Learning (ML) algorithms learn optimized and safe …
critical systems in which Machine Learning (ML) algorithms learn optimized and safe …
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 …
A stochastic framework using Bayesian optimization algorithm to assess the network-level societal impacts of connected and autonomous vehicles
Connected and autonomous vehicle technologies are expected to alter transportation
systems by enhancements in mobility, safety, and emission reduction. While many studies …
systems by enhancements in mobility, safety, and emission reduction. While many studies …
Bayesian optimization in high-dimensional spaces: A brief survey
Bayesian optimization (BO) has been widely applied to several modern science and
engineering applications such as machine learning, neural networks, robotics, aerospace …
engineering applications such as machine learning, neural networks, robotics, aerospace …