Abstract: A system for closest in path vehicle following using surrounding vehicles motion flow is provided and includes a sensor device of a host vehicle generating data related to vehicles upon a drivable surface. The system further includes a navigation controller including a computerized processor operable to monitor the data from the sensor device, define a portion of the plurality of vehicles as a swarm of vehicles, identify one of the plurality of vehicles as a closest in path vehicle to be followed, evaluate the data to determine whether the closest in path vehicle to be followed is exhibiting good behavior in relation to the swarm of vehicles, and, when the closest in path vehicle to be followed is exhibiting the good behavior, generate a breadcrumbing navigation path based upon the data. The system further includes a vehicle controller controlling the host vehicle based upon the breadcrumbing navigation path.

Abstract: The present application generally relates to a method and apparatus for generating an action policy for controlling an autonomous vehicle. In particular, the method and apparatus are operative for detecting, by a vehicle sensor, a distance from a host vehicle to a lane edge, determining a status of a vehicle system, calculating, by a processor, a risk index in response to the status of the vehicle system, calculating, by the processor, an intervention threshold in response to the risk index, generating, by the processor, a vehicle path in response to the distance of the host vehicle to the lane edge being less than the intervention threshold, and controlling the vehicle, by a vehicle controller, in response to the vehicle path.

Abstract: A system to enable an automobile vehicle automated driving control includes a quality index of an automated driving control system prior to enablement of an automated driving control function of an automobile vehicle. An adaptive forward propagation horizon and a prediction horizon for assessment of the quality index are computed. Vehicle states and road geometry are propagated over the adaptive forward propagation horizon, and the quality index is assessed based on forward propagated states over the prediction horizon. A first signal permits actuation of the automated driving control function of the automobile vehicle and a second signal precludes actuation of the automated driving control function. One of the first signal or the second signal is elected based on the results of assessing a quality control index trajectory over the adaptive forward propagation horizon.

Abstract: A system to enable an automobile vehicle automated driving control includes a quality index of an automated driving control system prior to enablement of an automated driving control function of an automobile vehicle. An adaptive forward propagation horizon and a prediction horizon for assessment of the quality index are computed. Vehicle states and road geometry are propagated over the adaptive forward propagation horizon, and the quality index is assessed based on forward propagated states over the prediction horizon. A first signal permits actuation of the automated driving control function of the automobile vehicle and a second signal precludes actuation of the automated driving control function. One of the first signal or the second signal is elected based on the results of assessing a quality control index trajectory over the adaptive forward propagation horizon.

Abstract: A system for closest in path vehicle following using surrounding vehicles motion flow is provided and includes a sensor device of a host vehicle generating data related to vehicles upon a drivable surface. The system further includes a navigation controller including a computerized processor operable to monitor the data from the sensor device, define a portion of the plurality of vehicles as a swarm of vehicles, identify one of the plurality of vehicles as a closest in path vehicle to be followed, evaluate the data to determine whether the closest in path vehicle to be followed is exhibiting good behavior in relation to the swarm of vehicles, and, when the closest in path vehicle to be followed is exhibiting the good behavior, generate a breadcrumbing navigation path based upon the data. The system further includes a vehicle controller controlling the host vehicle based upon the breadcrumbing navigation path.

Abstract: An operator offset request for automatic lane following system of an automobile vehicle includes an operator offset request defining a lateral offset distance away from a first travel-line of an automobile vehicle in a displacement path moved until a second travel-line of the automobile is achieved. An operator input setting system when actuated generates an initiation signal forwarded to a controller to input the operator offset request. An achievement signal is generated to signify a selected offset position selected by a vehicle operator for the offset distance is achieved. A vehicle return travel path is elected by the vehicle operator to return the automobile vehicle to the first travel-line from the second travel-line by a return displacement path which is opposite to the displacement path.

Abstract: A vehicle and a system and method of operating a vehicle. The system includes a processor. The processor learns a driver's behavior of a driver of the vehicle as the driver navigates a road segment, creates a behavior policy based on the driver's behavior and a threshold associated with the road segment, and controls the vehicle to navigate the road segment using the behavior policy.

Abstract: A system for closest in path vehicle following is provided. The system includes a sensor device of a vehicle to be controlled generating data related to a closest in path vehicle and related to a drivable surface in front of the vehicle. The system further includes a navigation control module including a computerized processor operable to monitor the data from the sensor device, evaluate the data to determine a quality measure of a path followed by the closest in path vehicle, and if the quality measure of the closest in path vehicle is above a high-quality candidate threshold, generate a breadcrumbing navigation path based upon the data. The system further includes a vehicle control module controlling the vehicle to be controlled based upon the breadcrumbing navigation path.

Abstract: An automotive vehicle includes at least one sensor configured to detect a lane marking proximate the vehicle, and to detect velocity, acceleration, and yaw rate of the vehicle. The vehicle also includes a controller in communication with the at least one sensor and configured to selectively control a steering intervention system in a first mode and a second mode. The controller is configured to calculate a plurality of lane departure estimations at a corresponding plurality of time instances, arbitrate among the plurality of lane departure estimations to calculate a predictive time to lane departure, calculate a lane departure confidence value associated with the predictive time to lane departure, and, in response to the confidence value exceeding a first threshold and the predictive time to lane departure being below a second threshold, control the steering intervention system in the second mode.