![Statistical theory / Maximum likelihood / Kalman filter / Constraint / Normal distribution / Maximum a posteriori estimation / Combinatorial optimization / Variance / Statistics / Estimation theory / Mathematical optimization Statistical theory / Maximum likelihood / Kalman filter / Constraint / Normal distribution / Maximum a posteriori estimation / Combinatorial optimization / Variance / Statistics / Estimation theory / Mathematical optimization](https://www.pdfsearch.io/img/37d28335412b7ac36233d3c48ff0bbb0.jpg) Date: 2012-06-11 20:18:12Statistical theory Maximum likelihood Kalman filter Constraint Normal distribution Maximum a posteriori estimation Combinatorial optimization Variance Statistics Estimation theory Mathematical optimization | | Collision-Free State Estimation Lawson L.S. Wong, Leslie Pack Kaelbling, and Tom´as Lozano-P´erez Abstract— In state estimation, we often want the maximum likelihood estimate of the current state. For the commonly usAdd to Reading ListSource URL: people.csail.mit.eduDownload Document from Source Website File Size: 490,60 KBShare Document on Facebook
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