Sensor Models and Multisensor Integration

@article{DurrantWhyte1988SensorMA,
  title={Sensor Models and Multisensor Integration},
  author={Hugh F. Durrant-Whyte},
  journal={The International Journal of Robotics Research},
  year={1988},
  volume={7},
  pages={113 - 97}
}
  • H. Durrant-Whyte
  • Published 1 December 1988
  • Computer Science
  • The International Journal of Robotics Research
We maintain that the key to intelligent fusion of disparate sensory information is to provide an effective model of sensor capabilities. A sensor model is an abstraction of the actual sensing process. It describes the information a sensor is able to provide, how this information is limited by the environ ment, how it can be enhanced by information obtained from other sensors, and how it may be improved by active use of the physical sensing device. The importance of having a model of sensor… 

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References

SHOWING 1-10 OF 26 REFERENCES

Consistent integration and propagation of disparate sensor observations

The invariant topology of relations between uncertain geometric features is used to develop a method for propagating observations through the world model and forces a consistent interpretation of the environment to be main tained and makes maximum use of sensor information.

Information Maps for Active Sensor Control

It is shown how linear estimation theory can be applied to the problem of controlling a nonlinear observation system observing data implicitly related to parameters of interest, and the notion of an information map showing the information expected from sensor viewpoints is developed.

The specification of distributed sensing and control

This article demonstrates how control issues can be handled in the context of Logical Sensor System Specification to include a control mechanism which permits control information to flow from more centralized processing to more peripheral processes and be generated locally in the logical sensor.

Uncertain geometry in robotics

  • H. Durrant-Whyte
  • Computer Science
    Proceedings. 1987 IEEE International Conference on Robotics and Automation
  • 1987
This work considers uncertain points, curves and surfaces, and shows how they can be manipulated and transformed between coordinate frames in an efficient and consistent manner.

Integration, coordination, and control of multi-sensor robot systems

A structure for Multi-Sensor Systems and The Team Decision Problem, with a focus on the Multi-Bayesian Team, and Implementation and Results.

Building, Registrating, and Fusing Noisy Visual Maps

It is shown how visual maps corresponding to different positions of the robot can be registered to compute a better estimate of its displacement between the various viewpoint positions, as suming an otherwise static environment.

Redundant Sensors for Mobile Robot Navigation

Sonar and infrared sensors are used here in tandem, each compensating for deficiencies in the other, to build a representation which is more accurate than if either sensor were used alone.

On Optimally Combining Pieces of Information, with Application to Estimating 3-D Complex-Object Position from Range Data

  • R. BolleD. Cooper
  • Computer Science
    IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 1986
The necessary techniques for optimal local parameter estimation and primitive boundary or surface type recognition for each small patch of data are developed, and optimal combining of these inaccurate locally derived parameter estimates are combined to arrive at roughly globally optimum object-position estimation.

Command and control (C2) theory: A challenge to control science

The basic premise of this perspectives paper is that the field of military command-and-control (C2) systems offers challenging basic research opportunities to researchers in the conlrol sciences and