Situation based Data Distribution in a Distributed Environment Model

Hermann, A.; Lutz, Sebastian

doi:10.1109/ivs.2007.4290162

Cited by 4 publications

(5 citation statements)

References 11 publications

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“…We showed in [7] that, using driving situation dependent data distribution, the transferred data volume can be decreased significantly. Now, as a second step, an evaluation of the situation dependent data distribution and of the situation analysis in real road traffic scenarios was done.…”

Section: A Situation Dependent Data Distributionmentioning

confidence: 99%

“…The main concepts of the Distributed Environment Model (DEM) have already been presented in [7]. In this section we give a summary on the major parts of the DEM.…”

Section: Distributed Environment Model (Dem)mentioning

confidence: 99%

“…This observation is used by the DEM to establish a situation based data distribution. As shown in [7], a set of tuples b = d, e, c describes all subscriptions of a data consumer in corresponding driving situations c, with d representing a unique data type and e an event raised on this data type. So every data consumer register his data needs, consisting of which data at which events in which driving situations is needed, at DEM through a set of tuples b .…”

Section: Situation Dependent Data Distributionmentioning

confidence: 99%

“…Based on the DEM situation analysis, it is possible to predict upcoming driving situations [7]. The situation analysis computes a prediction about the most likely next driving situation, which is then used by the DEM to establish a proactive data distribution.…”

Section: Situation Dependent Data Distributionmentioning

confidence: 99%

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Using a proactive sensor-system in the Distributed Environment Model

Hermann

Matzka

Desel

2008

2008 IEEE Intelligent Vehicles Symposium

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In this paper we present the usage of the Distributed Environment Model (DEM) to supply a proactive sensor system. The proactive sensor-system is a novel approach which combines low-resolution range sensors with high-resolution range sensors. Its aim is to achieve a better cost-benefit ratio on getting accurate knowledge about the environment of a car. We describe the main concepts of the DEM and of the proactive sensor system. Furthermore, we show synergistic effects of the DEM environment knowledge base combined with the efficient object classification done by the proactive sensor system. Finally, an evaluation of the DEM and the proactive sensor system in real traffic scenarios is presented.

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Section: A Situation Dependent Data Distributionmentioning

confidence: 99%

“…The main concepts of the Distributed Environment Model (DEM) have already been presented in [7]. In this section we give a summary on the major parts of the DEM.…”

Section: Distributed Environment Model (Dem)mentioning

confidence: 99%

Section: Situation Dependent Data Distributionmentioning

confidence: 99%

Section: Situation Dependent Data Distributionmentioning

confidence: 99%

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Using a proactive sensor-system in the Distributed Environment Model

Hermann

Matzka

Desel

2008

2008 IEEE Intelligent Vehicles Symposium

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“…In [14] we showed how to use the information of the current driving situation to establish a situation dependent data distribution. By using, a situation dependent data distribution the busload in a vehicle can be reduced significant.…”

Section: Applicationsmentioning

confidence: 99%

Driving situation analysis in automotive environment

Hermann

Desel

2008

2008 IEEE International Conference on Vehicular Electronics and Safety

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Abstract-In this paper, we show the concept of an automotive situation analysis (ASA) to determine the current driving situation in a given traffic scenario. To fulfill these we propose a consistent and extendable description of a driving situation, a situation model and a situation analysis. In the situation model, information of in-car sensors is used to build up a representation of the environment around the ego vehicle. On top of the situation model, a situation analysis is established to detect the current driving situation according to the given description of driving situation.Furthermore, we briefly discuss two applications that are using the proposed situation analysis to enhance safety and comfort in next generation automotive applications.

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An integrated method for Adaptive automotive Human Machine Interfaces

Heigemeyr

Harrer

2013

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)

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Situation based Data Distribution in a Distributed Environment Model

Cited by 4 publications

References 11 publications

Using a proactive sensor-system in the Distributed Environment Model

Using a proactive sensor-system in the Distributed Environment Model

Driving situation analysis in automotive environment

An integrated method for Adaptive automotive Human Machine Interfaces

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