TRACKING MULTI-DIMENSIONAL PATH GEOMETRY FOR AUTONOMOUS SYSTEMS AND APPLICATIONS

In various examples, geometries associated with one or more paths in an environment may be efficiently tracked and/or predicted using recursive models. For instance, the disclosed systems and methods may use Kalman filters to track and predict control points corresponding to Bezier curves (e.g., 2D and/or 3D Bezier curves). The Bezier curves may be representative of geometries associated with one or more lanes of a driving surface. In some instances, multiple Bezier curves may be used to represent a geometry of a lane, and multiple Kalman filters may be used to track and predict control points for each Bezier curve. For instance, an edge of the lane may be represented using a first Bezier curve, and control points for the first Bezier curve may be tracked and predicted using multiple Kalman filters (e.g., for a 3D Bezier curve, one Kalman filter for each x, y, or z dimension).