Cardinality Balanced Multi-Target Multi-Bernoulli Filter with Error Compensation
نویسندگان
چکیده
منابع مشابه
Cardinality Balanced Multi-Target Multi-Bernoulli Filter with Error Compensation
The cardinality balanced multi-target multi-Bernoulli (CBMeMBer) filter developed recently has been proved an effective multi-target tracking (MTT) algorithm based on the random finite set (RFS) theory, and it can jointly estimate the number of targets and their states from a sequence of sensor measurement sets. However, because of the existence of systematic errors in sensor measurements, the ...
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ژورنال
عنوان ژورنال: Sensors
سال: 2016
ISSN: 1424-8220
DOI: 10.3390/s16091399