Add to ORKGThe introduction of autonomy into systems adds new layers of complexity regarding safety, reliability and security (SRS). The main challenges related to methods for SRS assessment concern the following: i) the adequacy of existing methods; ii) the integrated modelling of hardware, human, software and human interaction; iii) self-learning systems; and iv) data requirements
Safety critical systems—namely systems on which human lives depend—have to remain functional not onl...
Autonomous machines are complex machines that are able to perform independent decision-making and to...
The advances in robotics, artificial intelligence, and communication technology are making industria...
An increased focus on the development of autonomous safety-critical systems requiresmore attention a...
Advances in robotics, artificial intelligence, and communication technology are enabling increasingl...
In any safety engineering effort, deriving safety requirements is a key activity. Doing this for aut...
Systems of systems (SoS) have been introduced in early 1990s in air traffic control domain, defense ...
A novel modelling paradigm for online diagnostics and prognostics for autonomous systems is presente...
International audienceThe autonomy of intelligent systems and their safety rely on their ability for...
Maritime autonomous systems pose many challenges to their designers. A fully autonomous vessel must ...
Many proposed autonomous systems are safety critical and will have to be certified before they can b...
In recent years, learning-based autonomous systems have emerged as a promising tool for automating m...
Autonomous systems have the potential to provide great benefit to society. However, they also pose p...
We characterise an autonomous system as one that has the capability to take decisions independently ...
Many autonomous systems are safety-critical, e.g., autonomous cars, boats, or aerial vehicles. Auton...
Safety critical systems—namely systems on which human lives depend—have to remain functional not onl...
Autonomous machines are complex machines that are able to perform independent decision-making and to...
The advances in robotics, artificial intelligence, and communication technology are making industria...
An increased focus on the development of autonomous safety-critical systems requiresmore attention a...
Advances in robotics, artificial intelligence, and communication technology are enabling increasingl...
In any safety engineering effort, deriving safety requirements is a key activity. Doing this for aut...
Systems of systems (SoS) have been introduced in early 1990s in air traffic control domain, defense ...
A novel modelling paradigm for online diagnostics and prognostics for autonomous systems is presente...
International audienceThe autonomy of intelligent systems and their safety rely on their ability for...
Maritime autonomous systems pose many challenges to their designers. A fully autonomous vessel must ...
Many proposed autonomous systems are safety critical and will have to be certified before they can b...
In recent years, learning-based autonomous systems have emerged as a promising tool for automating m...
Autonomous systems have the potential to provide great benefit to society. However, they also pose p...
We characterise an autonomous system as one that has the capability to take decisions independently ...
Many autonomous systems are safety-critical, e.g., autonomous cars, boats, or aerial vehicles. Auton...
Safety critical systems—namely systems on which human lives depend—have to remain functional not onl...
Autonomous machines are complex machines that are able to perform independent decision-making and to...
The advances in robotics, artificial intelligence, and communication technology are making industria...