Correcting mismatch in a data fusion system for ultrasonic mapping with a mobile robot

McKerrow, P.J.; Volk, S.J.

doi:10.1109/mfi.1996.572312

Cited by 9 publications

(2 citation statements)

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“…The stimuli in this case are the range readings from the ring of ultrasonic sensors. Each range reading is modelled as an arc [7] to produce an arc map of the environment (Figure 4). At the zeroth level, the transducers and electronics sense and amplify the echoes.…”

Section: Detectionmentioning

confidence: 99%

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A systems approach to data fusion

McKerrow

Volk²

Proceeding of 1st Australian Data Fusion Symposium

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Data fusion is the process of combining signals from several sensors into a single world view. A four-level software architecture provides a generalised h e w o r k for designing data fusion systems. Important issues in data fusion are feature extraction, closure criteria, paradigm shifts between levels, error correction and knowledge engineering. Each of these is discussed in the context of a data fusion system for ultrasonic mapping with a mobile robot.

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Section: Detectionmentioning

confidence: 99%

“…At the first level, outline segments are extracted from the sensor data [7]. They are calculated from successive range readings by individual sensors as the robot moves around the room.…”

Section: Detectionmentioning

confidence: 99%