Abstract: Systems and methods of performing adaptive control of an automated lane change in a vehicle include positioning a target vehicle with a target speed in a target lane at a target distance behind the vehicle. The target speed is greater than a speed of the vehicle, and the vehicle will move into the target lane based on the automated lane change. The method includes determining a deceleration needed by the target vehicle over a braking distance, which is less than the target distance, to match the speed of the vehicle, and determining whether the deceleration exceeds a threshold deceleration. The automated lane change is prohibited based on the deceleration exceeding the threshold deceleration.

Abstract: Systems and methods of performing adaptive control of an automated lane change in a vehicle include positioning a target vehicle with a target speed in a target lane at a target distance behind the vehicle. The target speed is greater than a speed of the vehicle, and the vehicle will move into the target lane based on the automated lane change. The method includes determining a deceleration needed by the target vehicle over a braking distance, which is less than the target distance, to match the speed of the vehicle, and determining whether the deceleration exceeds a threshold deceleration. The automated lane change is prohibited based on the deceleration exceeding the threshold deceleration.

Abstract: The methods and system described herein may be used to assist an automated driving system of a host vehicle. The methods and system may, in an exemplary embodiment, be used to determine whether a host vehicle or a target vehicle is cutting out and, accordingly, control the acceleration and/or other driving features of the host vehicle. Generally, the methods described herein contain the steps of determining that a vehicle is cutting out, determining which vehicle is cutting out, and then controlling the acceleration of the host vehicle based on the previous determinations. The determination of which vehicle is cutting out is made based on readings gathered by the host vehicle from one or more automated driving sensors. By using target vehicle sensor data in conjunction with lane marking sensor data, the host vehicle can determine, not only that a vehicle is cutting out, but which vehicle(s) are cutting out.

Abstract: The methods and system described herein may be used to assist an automated driving system of a host vehicle. The methods and system may, in an exemplary embodiment, be used to determine whether a host vehicle or a target vehicle is cutting out and, accordingly, control the acceleration and/or other driving features of the host vehicle. Generally, the methods described herein contain the steps of determining that a vehicle is cutting out, determining which vehicle is cutting out, and then controlling the acceleration of the host vehicle based on the previous determinations. The determination of which vehicle is cutting out is made based on readings gathered by the host vehicle from one or more automated driving sensors. By using target vehicle sensor data in conjunction with lane marking sensor data, the host vehicle can determine, not only that a vehicle is cutting out, but which vehicle(s) are cutting out.

Abstract: A method for use in an active safety system installed on a host vehicle is provided. The method comprises acquiring, for each of a plurality of target objects in the path of the host vehicle, a value of a parameter that is representative of a likelihood that the host vehicle will collide with the target object. In an exemplary embodiment, the parameter that is utilized comprises a time-to-collision between the host vehicle and the target object. The method further comprises evaluating one or more of the acquired parameter values to determine if the host vehicle is likely to collide with one or more of the target objects, and triggering one or more collision avoidance measures when it is determined that the host vehicle is likely to collide with one or more of the target objects. An active safety system configured to perform the methodology is also provided.

Abstract: Methods and vehicles are provided for identifying objects in proximity to the vehicle and controlling active safety functionality for the vehicle. A target object in proximity to the vehicle is detected. A movement of the target object is measured. The target object is classified based at least in part on the movement. The active safety functionality is controlled based at least in part on the classification of the target object.

Abstract: A method for use in an active safety system installed on a host vehicle is provided. The method comprises acquiring, for each of a plurality of target objects in the path of the host vehicle, a value of a parameter that is representative of a likelihood that the host vehicle will collide with the target object. In an exemplary embodiment, the parameter that is utilized comprises a time-to-collision between the host vehicle and the target object. The method further comprises evaluating one or more of the acquired parameter values to determine if the host vehicle is likely to collide with one or more of the target objects, and triggering one or more collision avoidance measures when it is determined that the host vehicle is likely to collide with one or more of the target objects. An active safety system configured to perform the methodology is also provided.

Abstract: Methods and vehicles are provided for identifying objects in proximity to the vehicle and controlling active safety functionality for the vehicle. A target object in proximity to the vehicle is detected. A movement of the target object is measured. The target object is classified based at least in part on the movement. The active safety functionality is controlled based at least in part on the classification of the target object.