Corpus ID: 69628892

Sensor Fusion in Time-Triggered Systems

@inproceedings{Kopetz2002SensorFI,
  title={Sensor Fusion in Time-Triggered Systems},
  author={Hermann Kopetz and Wilfried Elmenreich and Unter Sensor and Claudia Pribil and Peter P. Puschner and Thomas M. Galla and Wolfgang Haidinger and Ste},
  year={2002}
}
Sensor fusion is the combining of sensory data or data derived from sensory data in order to produce enhanced data in form of an internal representation of the process environment. The achievements of sensor fusion are robustness, extended spatial and temporal coverage, increased confidence, reduced ambiguity and uncertainty, and improved resolution. This thesis examines the application of sensor fusion for real-time applications. The time-triggered approach provides a well suited basis for… Expand
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References

SHOWING 1-10 OF 195 REFERENCES
The Time-Triggered Sensor Fusion Model
This paper compares current sensor fusion models and proposes a new time-triggered model for sensor fusion. The time-triggered sensor fusion model decomposes a real time system into three levels, aExpand
Achieving Dependability in Time-Triggered Networks by Sensor Fusion
TLDR
A system architecture that supports the development of dependable control applications by sensor fusion algorithms implemented only with respect to the interface specification and thus independent of the actual control application and the extension of existing applications is presented. Expand
Using sensor fusion in a time-triggered network
  • W. Elmenreich, S. Pitzek
  • Engineering
  • IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.37243)
  • 2001
Smart transducer technologies support the composability, configurability and maintainability of sensor networks. Sensor fusion techniques on the other hand offer a lot of advantages for systems thatExpand
Sensor fusion potential exploitation-innovative architectures and illustrative applications
Sensor fusion models have been characterized in the literature in a number of distinctly different ways: in terms of information levels at which the fusion is accomplished; the objectives of theExpand
Sensor Models and Multisensor Integration
TLDR
This work describes a technique for modeling sensors and the information they provide, and shows how this mechanism can be used to manipulate, communi cate, and integrate uncertain sensor observations. Expand
Toward a fully decentralized architecture for multi-sensor data fusion
A fully decentralized architecture is presented for data fusion problems. This architecture takes the form of a network of sensor nodes, each with its own processing facility, which together do notExpand
Fusion or confusion: knowledge or nonsense?
The terms 'data fusion,' 'sensor fusion,' multi-sensor integration,' and 'multi-source integration' have been used widely in the technical literature to refer to a variety of techniques,Expand
Exception handling for sensor fusion
This paper presents a control scheme for handling sensing failures (sensor malfunctions, significant degradations in performance due to changes in the environment, and errant expectations) in sensorExpand
Sensor fusion for mobile robot navigation
We review techniques for sensor fusion in robot navigation, emphasizing algorithms for self-location. These find use when the sensor suite of a mobile robot comprises several different sensors, someExpand
A Fully Decentralized Multi-Sensor System For Tracking and Surveillance
TLDR
This article describes a multisensor surveillance system that achieves a high degree of survivability by employing a decentralized sensing architecture (Durrant-Whyte, Rao, and Hu 1990), and develops the algorithm to ensure that internodal commu nication is minimized and can take place without any prior synchronization between nodes. Expand
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