Abstract: A sensor-control system for operating an automated vehicle includes a first sensor, a second sensor, and a controller. The first sensor is used to detect objects proximate to a host-vehicle. The first sensor is characterized by a first-sensing-technology. The second sensor is used to detect objects proximate to the host-vehicle. The second sensor is characterized by a second-sensing-technology different from the first-sensing-technology. The controller is in communication with the first sensor and the second sensor. A location of an object detected by the first-sensor is used to select a field-of-view of the second-sensor.

Abstract: An operation-security system for an automated vehicle includes an object-detector and a controller. The object-detector includes at least three sensors. Each sensor is one of a camera used to determine an image-location of an object proximate to a host-vehicle, a lidar-unit used to determine a lidar-location of the object proximate to the host-vehicle, and a radar-unit used to determine a radar-location of the object proximate to the host-vehicle. The controller is in communication with the at least three sensors. The controller is configured to determine a composite-location based on a comparison of locations indicated by the at least three sensors. Information from one sensor is ignored when a respective location indicated by the one sensor differs from the composite-location by greater than an error-threshold. If a remote sensor not on the host-vehicle is used, V2V or V2I communications may be used to communicate a location to the host-vehicle.

Abstract: An acceleration management system for operating an automated vehicle includes a navigation-device, an object-detector, and a controller. The navigation-device is used to determine a travel-path of a host-vehicle. The object-detector is used to determine when an other-vehicle will intersect the travel-path of the host-vehicle. The controller is in communication with the object-detector and the navigation-device. The controller is configured to select an acceleration-profile for the host-vehicle that avoids interference with the other-vehicle, and operate the host-vehicle in accordance with the acceleration-profile.

Abstract: A lane management system for operating an automated vehicle includes a navigation-device, a vehicle-detector, and a controller suitable for use on a host-vehicle. The navigation-device is used to determine a preferred-route to a destination of the host-vehicle. The vehicle-detector is used to determine a relative-location of an other-vehicle proximate to the host-vehicle. The controller is in communication with the navigation-device and the vehicle-detector. The controller is configured to determine an alternate-route when the relative-location is such that a preferred-lane of the preferred-route is obstructed whereby the host-vehicle is unable to follow the preferred-route. Alternatively, the controller is configured to determine an initiate-time to perform a lane-change necessary to maneuver the host-vehicle into a preferred-lane of the preferred-route so the host-vehicle can follow the preferred-route, wherein the initiate-time is determined based on the relative-location.

Abstract: A route-planning system suitable for use on an automated vehicle includes a memory and a controller. The memory is used to store map-data indicative of a plurality of possible-routes to a destination. Each possible-route is characterized by a difficulty-score. The controller is in communication with the memory. The controller is operable to select from the memory a preferred-route from the plurality of possible-routes. The preferred-route is selected based on the difficulty-score.

Abstract: An autonomous driving merge management system includes an autonomous driving control device and an intention decision management system. The management system includes a candidate strategy subsystem generating a plurality of candidate driving strategies, a merging vehicle behavior recognition subsystem predicting a merging intention of a merging vehicle; an intention-based interactive prediction subsystem predicting future merging scenarios between the host vehicle and merging vehicle as a function of inputs by the merging vehicle behavior recognition subsystem and inputs by the candidate strategy subsystem, and a cost function-based evaluation subsystem determining a cost for each future merging scenario generated by the intention-based interactive prediction subsystem. A processor selects a merge strategy of the host vehicle based on intention-based prediction results and cost function-based evaluation results.