This work addresses the problem of trajectory planning for UAV sensors taking measurements of a large nonlinear system to improve estimation and prediction of such a system. The lack of perfect knowledge of the global system state typically requires probabilistic state estimation. The goal is...

Lane estimation for autonomous driving can beformulated as a curve estimation problem, where local sensordata provides partial and noisy observations of spatial curves.The number of curves to estimate may be initially unknown andmany of the observations may be outliers or false detections(due...