Sensor fusion in anti-personnel mine detection using a two-level belief function model
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Cites background from "Sensor fusion in anti-personnel min..."
...In belief functions theory, the discounting operation allows to combine information provided by a source in the form of a belief function with meta-knowledge regarding the reliability of that source, resulting in a “weakened”, less informative belief function....
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Cites background from "Sensor fusion in anti-personnel min..."
...tern recognition [5], [6], and data fusion [12], [19]....
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"Sensor fusion in anti-personnel min..." refers background or methods in this paper
...Masses assigned for each of the measures are shown in Table II, as well as the masses after combination....
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...Indeed, the 2Masses are rounded on two digits, and small values are not truncated but preserved in order to avoid multiplications by zero during combination....
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...In addition, it is impossible to model every object (neither mines nor objects that could be confused with them)....
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...Masses assigned by MD area measure....
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...The deminer is included in the reasoning process by expressing his opinion regarding the sensors and, accordingly, the importance of each of the four measures via discounting factors [16], [21], [22]....
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