Abstract: A path control systems and methods are disclosed that can aide in keeping an autonomous vehicle on a path. A current estimate of the autonomous vehicle's first position (x, y), heading, and velocity as well as a path of interest (e.g., breadcrumbs, line-arcs, or clothoid segments each containing velocity information) can be used to output a command velocity, command curvature, and/or a vector of waypoints. The command velocity, command curvature, and/or a vector of waypoints can be followed to move the autonomous vehicle from the first position onto the path of interest. An obstacle map may also be used to provide a path to the path of interest that avoids the obstacles on the obstacle map.

Abstract: Systems and methods are disclosed for a semantic information sharing within a group of autonomous ground vehicles. In some embodiments, a method may include sensing an environment near a first autonomous vehicle to produce first environmental data; creating a first mathematical model representing the environment near the first autonomous vehicle based on the first environmental data; sending a request for additional environmental data to a second autonomous vehicle; receiving a second mathematical model from the second autonomous vehicle; and merging the second mathematical model with the first mathematical model.

Abstract: Systems and methods are disclosed for a semantic information sharing within a group of autonomous ground vehicles. In some embodiments, a method may include sensing an environment near a first autonomous vehicle to produce first environmental data; creating a first mathematical model representing the environment near the first autonomous vehicle based on the first environmental data; sending a request for additional environmental data to a second autonomous vehicle; receiving a second mathematical model from the second autonomous vehicle; and merging the second mathematical model with the first mathematical model.