New technologies make it possible to implement systems that use existing behavior such as steering and acceleration to automate or semi-automate driving. A major problem with the introduction of these systems is that behavior can cause harm if it occurs in the wrong situation. This requires analyzing in which operational situations a certain behavior is safe. Due to the large number of operational situations, this is a complex task, with many potential risks if a certain behavior occurs in a particular situation. As a solution for coping with this complexity, we present a systematic model-based situation analysis
Scenario-based approaches have been receiving a huge amount of attention in research and engineering...
We characterise an autonomous system as one that has the capability to take decisions independently ...
International audienceWe propose a Model-Based System Engineering (MBSE) approach for the safety of ...
In automated driving systems of SAE Level 4 and higher, the vehicle can get into unforeseen critical...
Automated cars and driver assistance systems constantly progress in complementing the human user in ...
In the field of automotive safety, advanced driver assistance systems (ADAS) are receiving growing a...
Abstract — In this paper, we show the concept of an automo-tive situation analysis (ASA) to determin...
New automated vehicles have the chance of high improvements to road safety. Nevertheless, from today...
Autonomous driving is a technology that is evolving faster and faster and whose importance is growin...
Automated driving is expected to play a central role in future mobility systems by enabling, among o...
Software-controlled technical systems are omnipresent in our daily lives. In many domains, such as a...
The presented dissertation addresses the problem of risk evaluation and behavior planning for future...
With the introduction of vehicular digitization and automation, there has been significant growth in...
Objective: In order to introduce automated vehicles on public roads, it is necessary to ensure that ...
This thesis presents a method to assess the safety of transitions from automated to manual driving w...
Scenario-based approaches have been receiving a huge amount of attention in research and engineering...
We characterise an autonomous system as one that has the capability to take decisions independently ...
International audienceWe propose a Model-Based System Engineering (MBSE) approach for the safety of ...
In automated driving systems of SAE Level 4 and higher, the vehicle can get into unforeseen critical...
Automated cars and driver assistance systems constantly progress in complementing the human user in ...
In the field of automotive safety, advanced driver assistance systems (ADAS) are receiving growing a...
Abstract — In this paper, we show the concept of an automo-tive situation analysis (ASA) to determin...
New automated vehicles have the chance of high improvements to road safety. Nevertheless, from today...
Autonomous driving is a technology that is evolving faster and faster and whose importance is growin...
Automated driving is expected to play a central role in future mobility systems by enabling, among o...
Software-controlled technical systems are omnipresent in our daily lives. In many domains, such as a...
The presented dissertation addresses the problem of risk evaluation and behavior planning for future...
With the introduction of vehicular digitization and automation, there has been significant growth in...
Objective: In order to introduce automated vehicles on public roads, it is necessary to ensure that ...
This thesis presents a method to assess the safety of transitions from automated to manual driving w...
Scenario-based approaches have been receiving a huge amount of attention in research and engineering...
We characterise an autonomous system as one that has the capability to take decisions independently ...
International audienceWe propose a Model-Based System Engineering (MBSE) approach for the safety of ...