Heike S. Vogt

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Negative information provides important additional knowledge that is not exploited for sensor data fusion tasks by default. This paper presents a new approach to incorporate such information about unoccupied, observed areas or missing measurements in the Kalman filtering process. For this purpose, a combination with a grid-based method is proposed to(More)
Negative information provides important additionalk nowledge that is not exploited for sensor data fusion tasks by default.T his paper presents anew approach to incorporates uch information about unoccupied, observeda reaso rm issing measurements in the Kalmanfi lteringp rocess. Fort his purpose, ac ombination witha grid-based method is proposed to(More)
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