We introduce cube summing, a technique that permits dynamic programming algorithms for summing over structures (like the forward and inside algorithms) to be extended with non-loc...
SLAM algorithms based on local maps have been demonstrated to be well suited for mapping large environments as they reduce the computational cost and improve the consistency of the...
This paper employs general multivariate normal distribution to develop a new efficient statistical timing analysis methodology. The paper presents the theoretical framework of the...
— We present a new algorithm for solving the global localization problem called Frozen-Time Smoother (FTS). Time is ‘frozen’, in the sense that the belief always refers to th...