The InformationForm Data Association Filter Brad Schumitsch Sebastian Thrun Gary Bradski and Kunle Ol ukotun Stanford AI Lab Stanford University Stanford CA Abstract This paper presents a new lter f
The key innovation is a representation of the data association posterior in information form in which the proxim ity of objects and tracks are expressed by numerical links Updating these links requires linear time compared to exponential time requir
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