Abstract: A control system for a vehicle using a forward-facing camera includes a look ahead module configured to determine a distance to a look ahead point. A lane center module determines a location of a lane center line. A vehicle center line module determines a location of a vehicle center line. A first lateral offset module determines a first lateral offset based on the look ahead point and the determined lane center line. A second lateral offset module determines a second lateral offset based on the determined lane center line and the vehicle center line. A yaw angle offset calculating module receives the first lateral offset, the second lateral offset and the distance to the look ahead point, calculates a yaw angle offset, and compensates a yaw angle error based on the yaw angle offset.

Abstract: In accordance with an exemplary embodiment, methods and systems are provided for controlling automatic overtake functionality for a host vehicle. In on such exemplary embodiment, a disclosed method includes: (i) obtaining, via a plurality of sensors, sensor data pertaining to the host vehicle and a roadway on which the host vehicle is traveling; (ii) determining, via a processor, when an automatic overtake is recommended, using the sensor data in conjunction with one or more threshold values; (iii) receiving driver inputs pertaining to the automatic overtake; and (iv) adjusting, via the processor, the one or more threshold values for the automatic overtake based on the driver inputs.

Abstract: The present application relates to a method and apparatus for real time lateral control and steering actuation assessment for a motor vehicle by determining a desired host vehicle path, establishing a control point along the host vehicle path, generating a motion path between a host vehicle location and the control point, estimating a theoretical acceleration of the host vehicle along the motion path, controlling the host vehicle along the motion path, receiving a measured acceleration from an inertial measurement unit within the host vehicle, generating an error term in response to a comparison of the motion path and the measured lateral travel, and adjusting the performance limits of the sub-features in response to the error term.

Abstract: A vehicle, system and method for operating the vehicle is disclose. The system includes a radar system and a processor. The radar system locates a gap between targets in a second lane adjoining a first lane, with the host vehicle residing in the first lane. The processor is configured to determine a viability value of the gap for a lane change, select the gap based on the viability value, align the host vehicle with the selected gap, and merge the host vehicle from the first lane into the selected gap in the second lane.

Abstract: The present application relates to a method and apparatus for controlling an ADAS equipped vehicle including a sensor configured for determining a first distance to a first proximate vehicle and a second distance to a second proximate vehicle, a user input operative to receive a user preference, a memory operative to store a map data, a processor operative to generate a current lane score and an adjacent lane score in response to the first distance, the second distance, the user preference, and the map data, the processor being further operative to generate a lane change control signal in response to the adjacent lane score exceeding the current lane score and a vehicle controller operative to perform a lane change operation from a current lane to an adjacent lane in response to the lane change control signal.

Abstract: An automated lane change system for a motor vehicle includes one or more environmental sensors for generating an input signal indicative of a position of an object relative to the motor vehicle, with the object being disposed at a distance from the motor vehicle. The input signal is further indicative of a velocity of the object relative to the motor vehicle. The system further includes a steering wheel sensor generating a gripped signal, in response to a driver gripping a steering wheel. A controller generates an activation signal, in response to the controller receiving the input signal from the environmental sensor and the gripped signal from the steering wheel sensor. An actuator controls the steering wheel, a propulsion mechanism, and a braking mechanism for maneuvering the motor vehicle from a current driving lane to a target driving lane, in response to the actuator receiving the activation signal from the controller.

Abstract: In accordance with an exemplary embodiment, methods and systems are provided for controlling automatic overtake functionality for a host vehicle. In on such exemplary embodiment, a disclosed method includes: (i) obtaining, via a plurality of sensors, sensor data pertaining to the host vehicle and a roadway on which the host vehicle is traveling; (ii) determining, via a processor, when an automatic overtake is recommended, using the sensor data in conjunction with one or more threshold values; (iii) receiving driver inputs pertaining to the automatic overtake; and (iv) adjusting, via the processor, the one or more threshold values for the automatic overtake based on the driver inputs.

Abstract: A method to establish a lane-change maneuver, the method includes the steps of calculating a plurality of anchor points along a projected vehicle route and, based on the plurality of anchor points, generating a lane-change maneuver trajectory. The plurality of anchor points can include: a first anchor point based on time, a second anchor point where the vehicle would cross a lane boundary from a host lane to a target lane, and a third anchor point where counter steering torque would be applied to center the vehicle in the target lane.

Abstract: An automated lane change system for a motor vehicle includes one or more environmental sensors for generating an input signal indicative of a position of an object relative to the motor vehicle, with the object being disposed at a distance from the motor vehicle. The input signal is further indicative of a velocity of the object relative to the motor vehicle. The system further includes a steering wheel sensor generating a gripped signal, in response to a driver gripping a steering wheel. A controller generates an activation signal, in response to the controller receiving the input signal from the environmental sensor and the gripped signal from the steering wheel sensor. An actuator controls the steering wheel, a propulsion mechanism, and a braking mechanism for maneuvering the motor vehicle from a current driving lane to a target driving lane, in response to the actuator receiving the activation signal from the controller.

Abstract: The present application relates to a method and apparatus for controlling an ADAS equipped vehicle including a sensor configured for determining a first distance to a first proximate vehicle and a second distance to a second proximate vehicle, a user input operative to receive a user preference, a memory operative to store a map data, a processor operative to generate a current lane score and an adjacent lane score in response to the first distance, the second distance, the user preference, and the map data, the processor being further operative to generate a lane change control signal in response to the adjacent lane score exceeding the current lane score and a vehicle controller operative to perform a lane change operation from a current lane to an adjacent lane in response to the lane change control signal.

Abstract: Systems and methods are provided for tracking objects in an autonomous vehicle having multiple sensors. A method includes: determining, by a processor, a type of an environmental condition associated with the autonomous vehicle; adjusting, by the processor, a weight associated with a first type of sensor of the multiple sensors in response to the type of the environmental condition; fusing, by the processor, sensor data from the multiple sensors based on the adjusted weight; tracking, by the processor, an object in the environment of the autonomous vehicle based on the fused sensor data; and controlling, by the processor, the autonomous vehicle based on the tracked object.

Abstract: A method to establish a lane-change maneuver, the method includes the steps of calculating a plurality of anchor points along a projected vehicle route and, based on the plurality of anchor points, generating a lane-change maneuver trajectory. The plurality of anchor points can include: a first anchor point based on time, a second anchor point where the vehicle would cross a lane boundary from a host lane to a target lane, and a third anchor point where counter steering torque would be applied to center the vehicle in the target lane.

Abstract: A powertrain optimization method is used to identify the optimal torque operating range. The method for controlling the vehicle includes: receiving, by a planning controller, a trip plan based on an input from a vehicle-operator, wherein the trip plan is indicative of a planned trip; determining, by the planning controller, a current location of the vehicle using a Global Navigation Satellite System (GNSS) of the vehicle; determining, by the planning controller, a geography of the planned trip using map data from a map database; determining, by the planning controller, a target speed profile for the vehicle as a function of the trip plan, the geography of the planned trip, and a predetermined, optimal acceleration range; determining, by an adaptive cruise controller, a torque request as a function of the target speed profile, a predetermined-optimal torque range, and a current speed of the vehicle.

Abstract: A control system for a vehicle using a forward-facing camera includes a look ahead module configured to determine a distance to a look ahead point. A lane center module determines a location of a lane center line. A vehicle center line module determines a location of a vehicle center line. A first lateral offset module determines a first lateral offset based on the look ahead point and the determined lane center line. A second lateral offset module determines a second lateral offset based on the determined lane center line and the vehicle center line. A yaw angle offset calculating module receives the first lateral offset, the second lateral offset and the distance to the look ahead point, calculates a yaw angle offset, and compensates a yaw angle error based on the yaw angle offset.

Abstract: The present application relates to a method and apparatus for real time lateral control and steering actuation assessment for a motor vehicle by determining a desired host vehicle path, establishing a control point along the host vehicle path, generating a motion path between a host vehicle location and the control point, estimating a theoretical acceleration of the host vehicle along the motion path, controlling the host vehicle along the motion path, receiving a measured acceleration from an inertial measurement unit within the host vehicle, generating an error term in response to a comparison of the motion path and the measured lateral travel, and adjusting the performance limits of the sub-features in response to the error term.

Abstract: A vehicle, system and method for operating the vehicle is disclose. The system includes a radar system and a processor. The radar system locates a gap between targets in a second lane adjoining a first lane, with the host vehicle residing in the first lane. The processor is configured to determine a viability value of the gap for a lane change, select the gap based on the viability value, align the host vehicle with the selected gap, and merge the host vehicle from the first lane into the selected gap in the second lane.

Abstract: A method and apparatus that adjust a field of view of a sensor are provided. The method includes detecting at least one target object in an effective field of view of the sensor, determining an area corresponding to the effective field of view of the sensor, determining whether a critical zone is within the effective field of view based on the determined area of the effective field of view, parameters corresponding to the at least one target object, and parameters corresponding to the host vehicle, and moving the host vehicle within its lane of travel to adjust the effective field of view to capture the critical zone in response to determining that the critical zone is not within the effective field of view.

Abstract: A host vehicle that includes an autonomous control system that is capable of executing an automatic lane change (ALC) maneuver is described. The ALC maneuver may be executed when the host vehicle is seeking to merge into a lane of travel. This includes operating under conditions that include moderate to heavy levels of traffic. The host vehicle is capable of soliciting a desired gap in a target lane by using a lane centering offset maneuver to influence and observe proximal vehicles operating in the target lane before executing the ALC maneuver.

Abstract: An automotive vehicle includes at least one actuator configured to control vehicle steering, shifting, acceleration, or braking, at least one sensor configured to provide signals indicative of a location and velocity of an object external to the vehicle relative to the vehicle, and at least one controller in communication with the at least one actuator and the at least one sensor. The at least one controller is configured to, in response to a signal from the at least one sensor indicating that a relative velocity between a rearward object and the vehicle exceeds a first threshold and a distance between the rearward object and the vehicle falls below a second threshold, automatically control the at least one actuator to maneuver the vehicle from a first lateral position with respect to a current driving lane to a second lateral position with respect to the current driving lane.

Abstract: The present application generally relates to a method and apparatus for object detection within a camera blind spot in a motor vehicle. In particular, the system is operative to determine a blind spot within an image, adjust a dynamic range of a camera, and detect an object in response to the adjusted dynamic range.