Abstract: Systems and methods for determining the order of autonomous vehicles proceeding through the intersection locally by the autonomous vehicles are disclosed. The method may include determining the presence of overlapping regions between paths of different autonomous vehicles. The method may also include assigning one of the autonomous vehicles as the authority to decide which autonomous vehicle should proceed through the intersection before all other autonomous vehicles.

Abstract: Systems and methods are disclosed for a remote operator to observe and rectify safety issues on an autonomous work vehicle. For example, an autonomous work vehicle may detect an obstacle on or near a path within a work zone. The obstacle may be detected using a camera, a LiDAR or a RADAR. The autonomous work vehicle may stop prior to contacting the object. The autonomous work vehicle may also image the obstacle and send the image to a mobile device either directly or via a remote server. The user may determine the obstacle is not a safety issue or remove the obstacle from the path. In either case, the user may send an indication through the user interface that the path is clear and the autonomous work vehicle is safe to proceed along the path.

Abstract: An autonomous vehicle system and method is disclosed that allows an operator to override a stop command issued from an obstacle detection and avoidance subsystem of the autonomous vehicle. Most autonomous vehicles include an obstacle detection and avoidance subsystem that detects potential obstacles along the path of the autonomous vehicle and may send a command to stop the autonomous vehicle. When the obstacle detection and avoidance subsystem detects a potential obstacle (regardless of whether the potential obstacle does or does not exist) and the path is still traversable, the autonomous vehicle may still stop unnecessarily. The disclosed system and methods will allow an operator to override commands issued by the obstacle detection and avoidance subsystem and allow the autonomous vehicle to continue along the path regardless of any potential obstacle.

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 for determining the order of autonomous vehicles proceeding through the intersection locally by the autonomous vehicles are disclosed. The method may include determining the presence of overlapping regions between paths of different autonomous vehicles. The method may also include assigning one of the autonomous vehicles as the authority to decide which autonomous vehicle should proceed through the intersection before all other autonomous vehicles.

Abstract: An autonomous vehicle system and method is disclosed that allows an operator to override a stop command issued from an obstacle detection and avoidance subsystem of the autonomous vehicle. Most autonomous vehicles include an obstacle detection and avoidance subsystem that detects potential obstacles along the path of the autonomous vehicle and may send a command to stop the autonomous vehicle. When the obstacle detection and avoidance subsystem detects a potential obstacle (regardless of whether the potential obstacle does or does not exist) and the path is still traversable, the autonomous vehicle may still stop unnecessarily. The disclosed system and methods will allow an operator to override commands issued by the obstacle detection and avoidance subsystem and allow the autonomous vehicle to continue along the path regardless of any potential obstacle.

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: An autonomous vehicle is disclosed. The autonomous vehicle may include a sensor array; an engine output control system; a braking control system; and a controller. The controller may be communicatively coupled with the sensor array, the engine output control system, and the braking control system. The controller may be configured to: sense an environment with the sensor array to produce sensor data; receiving autonomous vehicle state data; determining whether the autonomous vehicle state data is above a threshold state value; in the event the autonomous vehicle state data is above a threshold state value, not using the sensor data to operate the autonomous vehicle; and in the event the autonomous vehicle state data is not above a threshold state value, using the sensor data to operate the autonomous vehicle.

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: Embodiments of an autonomous vehicle are disclosed. In some embodiments, the autonomous vehicle includes a sensor array that can produce sensor data. The autonomous vehicle further includes a transceiver that can communicate with and receive data from at least a base station. Further, the autonomous vehicle includes a controller communicatively coupled with the sensor array and the transceiver. The controller includes code that receives a navigation plan data via the transceiver and navigates the autonomous vehicle along a navigation path specified in the navigation plan in such a manner as to avoid an interaction with one or more actual obstacles, in and around the navigation path, detected based at least in part on the sensor data.

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.