Prospects and challenges of Metaverse application in data‐driven intelligent transportation systems
The Metaverse is a concept used to refer to a virtual world that exists in parallel to the
physical world. It has grown from a conceptual level to having real applications in virtual …
physical world. It has grown from a conceptual level to having real applications in virtual …
A systematic review of human–computer interaction and explainable artificial intelligence in healthcare with artificial intelligence techniques
Artificial intelligence (AI) is one of the emerging technologies. In recent decades, artificial
intelligence (AI) has gained widespread acceptance in a variety of fields, including virtual …
intelligence (AI) has gained widespread acceptance in a variety of fields, including virtual …
Software engineering for AI-based systems: a survey
AI-based systems are software systems with functionalities enabled by at least one AI
component (eg, for image-, speech-recognition, and autonomous driving). AI-based systems …
component (eg, for image-, speech-recognition, and autonomous driving). AI-based systems …
Survey on scenario-based safety assessment of automated vehicles
S Riedmaier, T Ponn, D Ludwig, B Schick… - IEEE …, 2020 - ieeexplore.ieee.org
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 …
Verification and validation methods for decision-making and planning of automated vehicles: A review
Verification and validation (V&V) hold a significant position in the research and development
of automated vehicles (AVs). Current literature indicates that different V&V techniques have …
of automated vehicles (AVs). Current literature indicates that different V&V techniques have …
A software engineering perspective on engineering machine learning systems: State of the art and challenges
G Giray - Journal of Systems and Software, 2021 - Elsevier
Context: Advancements in machine learning (ML) lead to a shift from the traditional view of
software development, where algorithms are hard-coded by humans, to ML systems …
software development, where algorithms are hard-coded by humans, to ML systems …
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 …
Requirements engineering for artificial intelligence systems: A systematic mapping study
Context: In traditional software systems, Requirements Engineering (RE) activities are well-
established and researched. However, building Artificial Intelligence (AI) based software …
established and researched. However, building Artificial Intelligence (AI) based software …
A survey of algorithms for black-box safety validation of cyber-physical systems
Autonomous cyber-physical systems (CPS) can improve safety and efficiency for safety-
critical applications, but require rigorous testing before deployment. The complexity of these …
critical applications, but require rigorous testing before deployment. The complexity of these …
Emerging cybersecurity and privacy threats to electric vehicles and their impact on human and environmental sustainability
With the global energy crisis, increasing demand, and a national-level emphasis on electric
vehicles (EVs), numerous innovations are being witnessed throughout the EV industry. EVs …
vehicles (EVs), numerous innovations are being witnessed throughout the EV industry. EVs …