Exact(22)
We propose an approach to manage data associations in the context of visual features.
Even though such a solution has the advantage of simplicity, it requires careful processing of data associations.
These data associations and relations are then stored in a data pool.
As part of the practical implementation of the localisation system, we introduce a batch data association method that uses the simultaneous observation of multiple features to determine data associations in a manner decoupled from the vehicle pose estimate.
To deal with many-to-one or one-to-many data associations, Park et al. [29] propose a general formulation called binary integer programming to handle a min-cost data association problem among target-measurement data associations through one-to-one, many-to-one, and one-to-many data associations (also called multi-way data associations) to track multiple interacting targets in video frames.
However, the multi-way data associations are difficult to achieve real-time multiple human tracking.
Similar(38)
After data association, one needs to utilize the associated measurements to estimate a target's state.
(i) The landmarks (sensor) are naturally associated to the measurements, that is, data association is solved.
The landmarks (sensor) are naturally associated to the measurements, that is, data association is solved.
MTT requires estimation of state variables and data association.
Data association framework is employed to generate final tracks.
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