Abstract: A lane tracking system for a motor vehicle includes a camera and a lane tracking processor. The camera is configured to receive image of a road from a wide-angle field of view and generate a corresponding digital representation of the image. The lane tracking processor is configured to receive the digital representation of the image from the camera and to: detect one or more lane boundaries, each lane boundary including a plurality of lane boundary points; convert the plurality of lane boundary points into a Cartesian vehicle coordinate system; and fit a reliability-weighted model lane line to the plurality of points.

Abstract: A method of determining functionality of a vision-based imaging system for a vehicle includes capturing images by the vision-based imaging system. The images include landmarks that are identified in multiple images for distinguishing displacement of landmarks between the images. Edge maps for each of the images are generated. Like regions of at least two edge maps are compared for distinguishing displacement of a landmark between the at least two edge maps. Each pixel location of a first edge map is compared with a same pixel location of a second edge map for determining whether each compared pixel location has a different intensity value. An aggregate number of pixel locations having a different intensity value between the at least two edge maps is determined and compared to a threshold. An error message is generated in response to the aggregate number being less than the threshold.

Abstract: A lane tracking system for tracking the position of a vehicle within a lane includes a camera configured to provide a video feed representative of a field of view and a video processor configured to receive the video feed from the camera and to generate latent video-based position data indicative of the position of the vehicle within the lane. The system further includes a vehicle motion sensor configured to generate vehicle motion data indicative of the motion of the vehicle, and a lane tracking processor. The lane tracking processor is configured to receive the video-based position data, updated at a first frequency; receive the sensed vehicle motion data, updated at a second frequency; estimate the position of the vehicle within the lane from the sensed vehicle motion data; and fuse the video-based position data with the estimate of the vehicle position within the lane using a Kalman filter.

Abstract: A vehicle merge control system includes a host communication system in a host vehicle for exchanging vehicle position and kinematics data with a remote communication system in at least one remote vehicle. A vehicle host processor determines respective positions and paths of travel of the at least one remote vehicle and the host vehicle. The host processor determines a time to intersect based on the positions and predicted paths of travel between the host vehicle and remote vehicle during a merging maneuver. A host vehicle is configured to transmit a host vehicle intention message from the host communication system to the remote communication system for negotiating a merging position between the host vehicle and the at least one remote vehicle. The host vehicle executes the merging maneuver using the negotiated merging position.

Abstract: A vehicle includes a vehicle monitoring system for estimating vehicle motion states, a spatial monitoring system, an adaptive cruise control system for vehicle speed and acceleration control, a steering controller for vehicle lateral motion control, a roadway estimator, and an autonomic control system. Commanded vehicle operation is adjusted to achieve a preferred travel path based upon a predicted travel path and an estimated roadway. The preferred travel path is adapted responsive to the estimated roadway.

Abstract: Vehicle steering measurements of a vehicle may be measured. Expected vehicle steering measurements may be calculated, each calculated expected vehicle steering measurement corresponding to one of the measured vehicle steering measurements. At least one difference between one of the measured vehicle steering measurements and its corresponding calculated expected vehicle steering measurement may be calculated. A lower boundary and an upper boundary of at least one override transition zone, each of the override transition zones corresponding to one of the measured vehicle steering measurements and its corresponding calculated expected vehicle steering measurement, may be calculated. Steering control of the vehicle may be gradually transferred from an automatic vehicle control system to a driver of the vehicle over a predetermined period of time when one or more of the calculated differences lie between the calculated lower boundary and the calculated upper boundary of the corresponding override transition zone.

Abstract: One or more vehicle steering measurements of a vehicle may be measured. One or more expected vehicle steering measurements may be calculated, each calculated expected vehicle steering measurement corresponding to one of the measured vehicle steering measurements. At least one difference between one of the measured vehicle steering measurements and its corresponding calculated expected vehicle steering measurement may be calculated. A speed of the vehicle may be measured. One or more current threshold values may be calculated based on the measured speed, each of the current threshold values corresponding to one of the measured vehicle steering measurements and its corresponding calculated expected vehicle steering measurement. An automatic vehicle control system may be deactivated when one or more of the calculated differences exceeds its corresponding current threshold value.

Abstract: A system and a method for detecting the eyes of a driver of a vehicle using a single camera. The method includes determining a set of positional parameters corresponding to a driving seat of the vehicle. The camera is positioned at a pre-determined location inside the vehicle, and a set of parameters corresponding to the camera is determined. The location of the driver's eyes is detected using the set of positional parameters, an image of the driver's face and the set of parameters corresponding to the camera.

Abstract: A method and system may determine one or more mobile devices associated with a driver of a vehicle. The method and system may deactivate, if one or more vehicle parameters indicate the vehicle is configured for motion, one or more features of the one or more mobile devices associated with the driver of the vehicle. The method and system may reactivate, if the one or more vehicle parameters indicate the vehicle is no longer configured for motion, the one or more features of the one or more mobile devices associated with the driver of the vehicle. The one or more mobile devices may, in some embodiments, be mobile telephones and the one or more features may be text entry features.

Abstract: A method for adjusting a vehicle's position in a roadway lane. A camera mounted on the vehicle generates a current image of the lane and the method identifies a current lane-center line in the current image. A reference image is generated and the method identifies a reference lane-center line in the reference image. The method then calculates an error between the current lane-center line and the reference lane-center line and provide steering commands to adjust the position of the vehicle so that the error is reduced.

Abstract: A system and method for accurately estimating a lane in which a vehicle is traveling. A sensor mounted on the vehicle generates sensor data including lane information that is processed by several lane detection sub-systems to generate two or more estimated lanes with corresponding lane confidence information. A combining processor combines the estimated lanes based upon the confidence information to determine a combined estimated lane.

Abstract: A method to control a vehicle having a plurality of wheels includes monitoring desired vehicle dynamics, determining a desired corner force and moment distribution based upon the desired vehicle dynamics and a real-time closed form dynamics optimization solution, and controlling the vehicle based upon the desired corner force and moment distribution. The real-time closed form dynamics optimization solution is based upon a minimized center of gravity force error component, a minimized control energy component, and a maximized tire force reserve component.

Abstract: A method and system may calculate a steering adjustment required for a vehicle traveling on a roadway to execute a transition to lane centering maneuver. A steering limit may be selected or calculated in accordance with a desired smoothness level for completing the maneuver. The steering limit may be applied to a steering adjustment to obtain a modified steering adjustment, and the modified steering adjustment may be applied to the vehicle.

Abstract: A method and system may measure one or more vehicle steering measurements or quantities and calculate one or more expected vehicle steering measurements. The method and system may deactivate an automatic vehicle control system based on the one or more measured vehicle steering measurements and the one or more expected vehicle steering measurements. The vehicle steering measurements may include a vehicle steering angle measurement, vehicle steering torque measurement, or other vehicle dynamics measurements. The automatic vehicle control system may include an automated lane centering system, lane keeping assist, or other autonomous vehicle steering control system.

Abstract: A method and system may include obtaining a time to complete a lane centering maneuver for a vehicle traveling on a roadway. A lane centering path may be calculated for the maneuver, based on a sensed current heading of the vehicle relative to a sensed center line as determined by the time to complete. A steering adjustment required for the vehicle to execute the maneuver with respect to the calculated lane centering path may be calculated and applied to the vehicle.

Abstract: In one embodiment, a system and method may collect acceleration data for a driver for a vehicle, compare the acceleration data for the driver to a set of acceleration data representing a plurality of sample drivers driving in the same type of vehicle as the vehicle, and based on the comparison, determining a driving style rating for the driver.

Abstract: A method and system may measure one or more vehicle dynamics measurements and activate an automatic vehicle control system based on the one or more measurements. The vehicle dynamics measurements may include a vehicle steering angle measurement, vehicle lane offset measurement, or other vehicle dynamics measurements. The automatic vehicle control system may include an automated lane centering system, lane keeping assist, or other autonomous vehicle steering control system.

Abstract: A system and method for automatically adjusting the viewing angle of both side rear-view mirrors on a vehicle when the vehicle is traveling on a hill. The system estimates the slope of the hill, and uses the estimated slope to determine a corrected viewing angle of the rear-view mirrors. Depending on whether the vehicle is traveling uphill or down-hill, would depend on which direction the rear-view mirrors will be adjusted.

Abstract: A system for calculating an instantaneous fuel economy for a vehicle is disclosed herein. The system includes, but is not limited to, a speed sensor that is configured to determine a current speed of the vehicle, an acceleration sensor that is configured to determine a current acceleration of the vehicle, a fuel sensor that is configured to determine a current fuel consumption rate of an internal combustion engine of the vehicle, a display unit, and a processor. The processor is communicatively coupled with the speed sensor, the acceleration sensor, and the fuel sensor, and is operatively coupled with the display unit. The processor is configured to determine the instantaneous fuel economy of the vehicle based on information obtained from the speed sensor, the acceleration sensor, and the fuel sensor. The processor is further configured to instruct the display unit to display the instantaneous fuel economy.

Abstract: A process for identifying a vehicle driver according to a pre-determined hierarchy. The process includes determining, in a first determination act, whether a first sub-process, of a group of multiple sub-processes, can be used to identify the vehicle driver. The first sub-process is pre-determined to be a most reliable sub-process of the group for identifying the vehicle driver. The process also includes determining, in a second determination act, only if the first determination act has a negative result, whether a second sub-process of the group can be used to identify the vehicle driver. The second sub-process is pre-determined to be a second-most reliable sub-process of the group for identifying the vehicle driver.