Abstract-In this paper we discuss types of imprecision that are important for a tactical driver assistance system during its reasoning process. Methods for handling imprecision are presented using a previously developed overtake assistant as a showcase. The ideas for handling imprecision are demonstrated using several examples, together with the application of different approaches for different types of uncertainty. All presented solutions rely on simple efficient mathematical models, allowing for easy integration into the reasoning process without performance loss, while still yielding natural and useful quality assessments for sensed traffic information
Many context aware systems assume that the context information they use is highly accurate. In reali...
We present an uncertainty management scheme in rule-based systems for decision making in the domain ...
Unsuccessful overtaking maneuvers on two-lane rural roads are one of the major causes of road accide...
International audienceThe recognition of a temporal sequence is a complex problem, especially in the...
Current Driver Assistance Systems merely use a minimum set of information. By using additional infor...
We consider a model-based threat assessment method, which enables the activation of assisting safety...
International audienceContext aware systems are using various sensing technologies in order to recog...
The automobile industry is working on concepts to make so called highly automated driving possible. ...
This dissertation addresses the use of driver model uncertainty for vehicle steering assist controll...
Providing accurate real-time traffic information is an inherent problem for intelligent transportati...
International audienceThis paper deals with the recognition of particular temporal sequences of a dy...
In the field of automotive safety, advanced driver assistance systems (ADAS) are receiving growing a...
Though the wayfinding process is inherently uncertain, most models of wayfinding do not offer suffic...
Operators of highly automated driving systems may exhibit behaviour characteristic of overtrust issu...
What type of support should be given to an automobile driver when it is determined, via some monitor...
Many context aware systems assume that the context information they use is highly accurate. In reali...
We present an uncertainty management scheme in rule-based systems for decision making in the domain ...
Unsuccessful overtaking maneuvers on two-lane rural roads are one of the major causes of road accide...
International audienceThe recognition of a temporal sequence is a complex problem, especially in the...
Current Driver Assistance Systems merely use a minimum set of information. By using additional infor...
We consider a model-based threat assessment method, which enables the activation of assisting safety...
International audienceContext aware systems are using various sensing technologies in order to recog...
The automobile industry is working on concepts to make so called highly automated driving possible. ...
This dissertation addresses the use of driver model uncertainty for vehicle steering assist controll...
Providing accurate real-time traffic information is an inherent problem for intelligent transportati...
International audienceThis paper deals with the recognition of particular temporal sequences of a dy...
In the field of automotive safety, advanced driver assistance systems (ADAS) are receiving growing a...
Though the wayfinding process is inherently uncertain, most models of wayfinding do not offer suffic...
Operators of highly automated driving systems may exhibit behaviour characteristic of overtrust issu...
What type of support should be given to an automobile driver when it is determined, via some monitor...
Many context aware systems assume that the context information they use is highly accurate. In reali...
We present an uncertainty management scheme in rule-based systems for decision making in the domain ...
Unsuccessful overtaking maneuvers on two-lane rural roads are one of the major causes of road accide...