Abstract: An operating system for an automated vehicle includes a failure-detector and a controller. The failure-detector detects a component-failure on a host-vehicle. Examples of the component-failure include a flat-tire and engine trouble that reduces engine-power. The controller operates the host-vehicle based on a dynamic-model. The dynamic-model is varied based on the component-failure detected by the failure-detector.

Abstract: A brake control system for operating brakes of an automated vehicle at slow speed includes a motion-detector and a controller. The motion-detector detects relative-movement of a host-vehicle relative to a stationary-feature located apart from the host-vehicle. The controller is configured to operate brakes of the host-vehicle. The controller determines a vehicle-speed of the host-vehicle based on the relative-movement when the vehicle-speed is less than a speed-threshold, and regulates brake-pressure of the brakes based on the vehicle-speed.

Abstract: A tire-wear detection system for an automated vehicle includes a steering-angle-sensor, a vehicle-path-detector, and a controller. The steering-angle-sensor indicates a steering-angle of a host-vehicle. The vehicle-path-detector indicates a turning-radius of the host-vehicle. The controller is in communication with the steering-angle-sensor and the vehicle-path-detector. The controller determines a wear-status of a tire of the host-vehicle based on the turning-radius and the steering-angle.

Abstract: An open-loop brake control system for an automated vehicle includes a brake-unit and a controller. The brake-unit varies brake-pressure to operate brakes of a host-vehicle. The controller is in communication with the brake-unit. The controller operates the brake-unit to an initial-pressure to initiate braking of the host-vehicle in accordance with a brake-model that characterizes vehicle-deceleration versus the initial-pressure based on a time-of-operation of the brakes.

Abstract: A rear-wheel steering system suitable for use on an automated vehicle includes an object-detector, and actuator, and a controller. The object-detector is used to detect an object proximate to a host-vehicle. The actuator is used to adjust a rear-steering-angle of rear-wheels of the host-vehicle. The controller is in communication with the object-detector and the actuator. The controller is configured to determine a location of the object relative to the host-vehicle based on information from the object-detector, and operate the actuator to avoid the object when the host-vehicle moves.

Abstract: A rear-wheel steering system suitable for use on an automated vehicle includes an object-detector, and actuator, and a controller. The object-detector is used to detect an object proximate to a host-vehicle. The actuator is used to adjust a rear-steering-angle of rear-wheels of the host-vehicle. The controller is in communication with the object-detector and the actuator. The controller is configured to determine a location of the object relative to the host-vehicle based on information from the object-detector, and operate the actuator to avoid the object when the host-vehicle moves.

Abstract: A humanized steering system for an automated vehicle includes one or more steering-wheels operable to steer a vehicle, an angle-sensor configured to determine a steering-angle of the steering-wheels, a hand-wheel used by an operator of the vehicle to influence the steering-angle and thereby manually steer the vehicle, a steering-actuator operable to influence the steering-angle thereby steer the vehicle when the operator does not manually steer the vehicle, a position-sensor operable to indicate a relative-position an object proximate to the vehicle, and a controller. The controller is configured to receive the steering-angle and the relative-position, determine, using deep-learning techniques, a steering-model based on the steering-angle and the relative-position, and operate the steering-actuator when the operator does not manually steer the vehicle to steer the vehicle in accordance with the steering-model, whereby the vehicle is steered in a manner similar to how the operator manually steers the vehicle.

Abstract: A system for changing a control-mode of an automated vehicle from automated-control to manual-control includes an operator-detection device and a controller. The operator-detection device is operable to detect a readiness-state of an operator of a vehicle while a control-mode of the vehicle is automated-control. The controller is configured to forecast a future-time when the control-mode of the vehicle should change from automated-control to manual-control and determine a take-over-interval for an operator to assume manual-control of the vehicle once notified. The take-over-interval is determined based on the readiness-state. The controller is also configured to notify the operator that the control-mode of the vehicle should change from automated-control to manual-control no later than the take-over-interval prior to the future-time.

Abstract: A system for automated operation of a host-vehicle includes a sensor, a data-source, and a controller. The sensor is installed in a host-vehicle. The sensor is operable to determine a state-of-awareness of an operator of the host-vehicle. The data-source provides route-data used for automated operation of the host-vehicle. The route-data includes a map and a control-rule for navigating the map. The controller is in communication with the sensor and the data-source. The controller is configured to operate the host-vehicle during automated operation of the host-vehicle in accordance with the route-data. The controller is also configured to modify the control-rule based on the state-of-awareness of the operator.

Abstract: A humanized steering system for an automated vehicle includes one or more steering-wheels operable to steer a vehicle, an angle-sensor configured to determine a steering-angle of the steering-wheels, a hand-wheel used by an operator of the vehicle to influence the steering-angle and thereby manually steer the vehicle, a steering-actuator operable to influence the steering-angle thereby steer the vehicle when the operator does not manually steer the vehicle, a position-sensor operable to indicate a relative-position an object proximate to the vehicle, and a controller. The controller is configured to receive the steering-angle and the relative-position, determine, using deep-learning techniques, a steering-model based on the steering-angle and the relative-position, and operate the steering-actuator when the operator does not manually steer the vehicle to steer the vehicle in accordance with the steering-model, whereby the vehicle is steered in a manner similar to how the operator manually steers the vehicle.

Abstract: A system for automated operation of a host-vehicle includes an object-sensor, a global-positioning-system (GPS) receiver, and a controller. The object-sensor is used to determine a first-polynomial indicative of a preferred-steering-path based on an object detected proximate to a host-vehicle. The GPS-receiver is used to determine a second-polynomial indicative of an alternative-steering-path based on a GPS-map. The controller is configured to steer the host-vehicle in accordance with the first-polynomial when the object is detected, and steer the host-vehicle in accordance with the second-polynomial when the object is not detected. The improvement allows the system to make use of a less expensive/less accurate version of the GPS-receiver, and a less complicated GPS-map than would be anticipated as necessary for automated steering of the host-vehicle using only the GPS-receiver and the GPS-map.

Abstract: A system for changing a control-mode of an automated vehicle from automated-control to manual-control includes an operator-detection device and a controller. The operator-detection device is operable to detect a readiness-state of an operator of a vehicle while a control-mode of the vehicle is automated-control. The controller is configured to forecast a future-time when the control-mode of the vehicle should change from automated-control to manual-control and determine a take-over-interval for an operator to assume manual-control of the vehicle once notified. The take-over-interval is determined based on the readiness-state. The controller is also configured to notify the operator that the control-mode of the vehicle should change from automated-control to manual-control no later than the take-over-interval prior to the future-time.

Abstract: A system for automated operation of a host-vehicle includes a sensor, a data-source, and a controller. The sensor is installed in a host-vehicle. The sensor is operable to determine a state-of-awareness of an operator of the host-vehicle. The data-source provides route-data used for automated operation of the host-vehicle. The route-data includes a map and a control-rule for navigating the map. The controller is in communication with the sensor and the data-source. The controller is configured to operate the host-vehicle during automated operation of the host-vehicle in accordance with the route-data. The controller is also configured to modify the control-rule based on the state-of-awareness of the operator.