Abstract: An aftermarket vehicle communications device that that is part of a V2X communications system. The device can be a plug-in device, a wireless device separate from the vehicle, such as a key fob, wearable or a smart phone, or a permanent retrofit device mounted to the vehicle. The device is electrically coupled to the vehicle by, for example, an OBD connection, a USB connection, a CAN bus connection, an HDMI connection or wirelessly. The device includes a radio for transmitting and/or receiving communications signals, a memory for storing security information and vehicle application data, a location processor such as a global navigation satellite system receiver, a verification processor for verifying messages, and a communications processor configured to be put in electrical communication with a CAN bus on the vehicle, where the communications processor receives vehicle location signals from the location processor, files from the memory and signals from the radio.

Abstract: A method for providing a warning that a trailer being towed by a vehicle will cross out of a travel lane when in a curve for the current vehicle path prior to the vehicle entering the curve. The method determines that the vehicle is approaching the curve, determines a radius of curvature of the curve, determines a lane width of the travel lane, and identifying a length of the trailer. The method also determines a predicted steering angle of the vehicle necessary to follow the radius of curvature of the curve, a turn radius of the vehicle for traveling through the curve using the predicted steering angle, and a turn radius of the trailer using the turn radius of the vehicle. The method then determines whether the trailer will cross out of the travel lane based on the curvature of the curve and the turn radius of the trailer.

Abstract: A method for providing vehicle steering control through a curve in an autonomously driven or semi-autonomously driven vehicle that is towing a trailer. The method determines that the trailer will cross out of the travel lane based on the curvature of the curve and the turn radius of the trailer. The method calculates a start turn radius of the vehicle for a start location of the curve, an end turn radius of the vehicle for an end location of the curve, and a turn end point proximate the end location or a turn start point proximate the start location. The method provides initial and boundary conditions for determining a desired path of the vehicle through the curve that prevents the trailer from crossing out of the lane and determines the desired path based on the initial and boundary conditions by solving a polynomial equation.

Abstract: A method for providing vehicle lateral steering control. The method includes providing a mathematical model of vehicle dynamics that includes a state variable, a steering control variable and a future road disturbance factor that defines the upcoming road curvature, banks and slopes of the roadway. The method determines an optimal steering control signal that includes a feedback portion and a feed-forward portion, where the feed-forward portion includes the road disturbance factor. The method determines a state variable and a control variable for the current roadway curvature, bank and slope for stationary motion of the vehicle for constant speed, yaw rate and lateral velocity. The method then introduces a new state variable and control variable for dynamic vehicle motion for variable speed, yaw rate and lateral velocity that is a difference between the state and control variables for predicted future times and the steady state variables.

Abstract: A method for providing vehicle lateral steering control. The method includes providing a mathematical model of vehicle dynamics that includes a state variable, a steering control variable and a future road disturbance factor that defines the upcoming road curvature, banks and slopes of the roadway. The method determines an optimal steering control signal that includes a feedback portion and a feed-forward portion, where the feed-forward portion includes the road disturbance factor. The method determines a state variable and a control variable for the current roadway curvature, bank and slope for stationary motion of the vehicle for constant speed, yaw rate and lateral velocity. The method then introduces a new state variable and control variable for dynamic vehicle motion for variable speed, yaw rate and lateral velocity that is a difference between the state and control variables for predicted future times and the steady state variables.

Abstract: A method for determining a wet surface condition of a road. Capturing an image of a wheel of a remote vehicle traveling in an adjacent lane by an image capture device of a host vehicle. Identifying in the captured image, by processor of a host vehicle, a region of interest relative to the wheel where the region of interest is representative of where precipitation dispersion occurs. A determination is made whether precipitation is present in the region of interest. A wet road surface signal is generated in response to the identification of precipitation in the adjacent lane.

Abstract: A method for determining a wet surface condition of a road. An image of a road surface is captured by an image capture device of the host vehicle. The image capture device is mounted on a side of the host vehicle and captures an image in a downward direction. Identifying in the captured image, by a processor, a region of interest. The region of interest is in a region sideways to a face of the wheel. The region of interest is representative of where sideways splash as generated by the wheel occurs. A determination is made whether water is present in the region of interest. A wet road surface signal is generated in response to the identification of water in the region of interest.

Abstract: A method for determining a wet surface condition of a road. An image of a road surface is captured by an image capture device of the host vehicle. The image capture device is mounted on a side of the host vehicle and captures an image in a downward direction. A region of interest rearward of the wheel of the host vehicle is identified in the captured image by a processor. The region of interest is representative of where rearward splash as generated by the wheel occurs. A determination is made whether precipitation is present in the region of interest by applying a filter to the image. A wet road surface signal is generated in response to the identification of precipitation in the region of interest.

Abstract: A method for determining a snow covered surface condition of a path of travel. A beam of light is emitted at a surface of the path of travel by a light emitting source. An image of a path of travel surface is captured by an image capture device. The image capture device is mounted on the vehicle and captures an image in a downward direction. The captured image captures the beam of light emitted on the path of travel surface. Analyzing a subsurface scattering of the light generated on the path of travel surface by a processor. A determination is made whether snow is present on the path of travel. A snow covered path of travel surface signal is generated in response to the identification of snow on the path of travel.

Abstract: A method of determining a wet surface condition of a road. An image of a road surface is captured by an image capture device of the host vehicle. The image capture device is mounted on a side of the host vehicle and an image is captured in a downward direction. A region of interest is identified in the captured image by a processor. The region of interest is in a region rearward of a tire of a host vehicle. The region of interest is representative of where a tire track as generated by the tire rotating on the road when the road surface is wet. A determination is made whether water is present in the region of interest as a function of identifying the tire track. A wet road surface signal is generated in response to the identification of water in the region of interest.

Abstract: A rear cross traffic avoidance system includes an object detection device sensing remote objects rearward of a host vehicle. An object classifier distinguishes a remote dynamic object from remote static objects. The object classifier identifies a shape of the dynamic object. A tracking system tracks the remote dynamic object. A processor determines the remote object being on an intersecting path to the remote vehicle. The processor determines a warning threat assessment as a function of a time to intersect between the host vehicle and the remote dynamic object. The processor determines a brake threat assessment in response to an actuated warning of a collision. A brake actuation system actuates a braking operation for mitigating the collision.

Abstract: A system and method for estimating dynamics of a mobile platform by matching feature points in overlapping images from cameras on the platform, such as cameras in a surround-view camera system on a vehicle. The method includes identifying overlap image areas for any two cameras in the surround-view camera system, identifying common feature points in the overlap image areas, and determining that the common feature points in the overlap image areas are not at the same location. The method also includes estimating three-degree of freedom vehicle dynamic parameters from the matching between the common feature points, and estimating vehicle dynamics of one or more of pitch, roll and height variation using the vehicle dynamic parameters.

Abstract: Methods and systems for monitoring a driver of a vehicle are provided. In accordance with one embodiment, a system includes a sensing unit and a processor. The sensing unit is configured to at least facilitate detecting whether a driver of a vehicle is looking or has recently looked in a direction with respect to the vehicle. The processor is coupled to the sensing unit, and is configured to at least facilitate providing an action based at least in part on whether the driver is looking or has recently looked in the direction.

Abstract: A rear cross traffic avoidance system includes an object detection device sensing remote objects rearward of a host vehicle. An object classifier distinguishes a remote dynamic object from remote static objects. The object classifier identifies a shape of the dynamic object. A tracking system tracks the remote dynamic object. A processor determines the remote object being on an intersecting path to the remote vehicle. The processor determines a warning threat assessment as a function of a time to intersect between the host vehicle and the remote dynamic object. The processor determines a brake threat assessment in response to an actuated warning of a collision. A brake actuation system actuates a braking operation for mitigating the collision.

Abstract: An aftermarket vehicle communications device that that is part of a V2X communications system. The device can be a plug-in device, a wireless device separate from the vehicle, such as a key fob, wearable or a smart phone, or a permanent retrofit device mounted to the vehicle. The device is electrically coupled to the vehicle by, for example, an OBD connection, a USB connection, a CAN bus connection, an HDMI connection or wirelessly. The device includes a radio for transmitting and/or receiving communications signals, a memory for storing security information and vehicle application data, a location processor such as a global navigation satellite system receiver, a verification processor for verifying messages, and a communications processor configured to be put in electrical communication with a CAN bus on the vehicle, where the communications processor receives vehicle location signals from the location processor, files from the memory and signals from the radio.

Abstract: A reduced-order fail-safe inertial measurement unit system. A first inertial measurement unit device includes a plurality of accelerometers measuring linear accelerations and gyroscopes measuring angular velocities. A second inertial measurement unit device includes a reduced number of accelerometers and gyroscopes relative to the first inertial measurement unit device measuring at least two linear accelerations and at least one angular velocity. A processor receives acceleration data from the first and second inertial measurement units. The processor detects faulty data measurements from the first inertial measurement unit. The processor supplements the faulty data measurements of the first inertial measurement unit with transformed data generated as a function of the measurement data from the second inertial measurement unit. The processor applies predetermined transformation solutions to transform the measurement data from the second inertial measurement unit into the transformed data.

Abstract: A system and method for determining whether a driver is holding a vehicle steering wheel. The vehicle will include an electric power steering system and may further include autonomous or semi-autonomous driving features, such as Lane Centering Control or Lane Keeping Assist. The system includes a passive detection technique which monitors steering torque and steering angle, determines a resonant frequency of oscillation of the steering system from the measured data, and compares the resonant frequency to a known steering system natural frequency to make a hands-on/off determination. If the passive technique results are below a confidence threshold, then an active technique is employed which provides a steering angle perturbation and measures the frequency response, where the perturbation signal has characteristics which are prescribed based on the results of the passive technique. A steering torque greater than a threshold value is also an indication of the driver holding the steering wheel.

Abstract: A method of adaptively re-generating a planned path for an autonomous driving maneuver. An object map is generated based on the sensed objects in a road of travel. A timer re-set and actuated. A planned path is generated for autonomously maneuvering the vehicle around the sensed objects. The vehicle is autonomously maneuvered along the planned path. The object map is updated based on sensed data from the vehicle-based devices. A safety check is performed for determining whether the planned path is feasible based on the updated object map. The planned path is re-generated in response to a determination that the existing path is infeasible, otherwise a determination is made as to whether the timer has expired. If the timer has not expired, then a safety check is re-performed; otherwise, a return is made to re-plan the path.

Abstract: A method for localizing a vehicle in a digital map. GPS raw measurement data is retrieved from satellites. A digital map of a region traveled by the vehicle based on the raw measurement data is retrieved from a database. The digital map includes a geographic mapping of a traveled road and registered roadside objects. The registered roadside objects are positionally identified in the digital map by earth-fixed coordinates. Roadside objects are sensed in the region traveled by the vehicle using distance data and bearing angle data. The sensed roadside objects are matched on the digital map. A vehicle position is determined on the traveled road by fusing raw measurement data and sensor measurements of the identified roadside objects. The position of the vehicle is represented as a function of linearizing raw measurement data and the sensor measurement data as derived by a Jacobian matrix and normalized measurements, respectively.

Abstract: A method and system for localizing a vehicle in a digital map includes generating GPS coordinates of the vehicle on the traveled road and retrieving from a database a digital map of a region traveled by the vehicle based on the location of the GPS coordinates. The digital map includes a geographic mapping of a traveled road and registered roadside objects. The registered roadside objects are positionally identified in the digital map by longitudinal and lateral coordinates. Roadside objects in the region traveled are sensed by the vehicle. The sensed roadside objects are identified on the digital map. A vehicle position on the traveled road is determined utilizing coordinates of the sensed roadside objects identified in the digital map. The position of the vehicle is localized in the road as a function of the GPS coordinates and the determined vehicle position utilizing the coordinates of the sensed roadside objects.