Abstract: A computer-implemented method that, when executed by data processing hardware, causes the data processing hardware to perform operations comprising determining a desired effective steering angle based on a desired path, measuring a front road wheel angle and a rear road wheel angle, determining an actual effective steering angle, determining an effective steering angle error based on the desired effective steering angle and the actual effective steering angle, generating a torque command for an electronic power steering system based on the effective steering angle error, and controlling an active rear steering system independently from the electronic power steering system.

Abstract: A method for identifying a region of interest in an environment surrounding a vehicle may include receiving interest data using a first vehicle sensor. The interest data includes a first measurement. The method further may include determining an intended path of the vehicle. The method further may include identifying the region of interest in the environment surrounding the vehicle based at least in part on at least one of: the interest data and the intended path of the vehicle. The method further may include performing a second measurement of the region of interest using a second vehicle sensor.

Abstract: A computer-implemented method that, when executed by data processing hardware, causes the data processing hardware to perform operations comprising determining a desired effective steering angle based on a desired path, measuring a front road wheel angle and a rear road wheel angle, determining an actual effective steering angle, determining an effective steering angle error based on the desired effective steering angle and the actual effective steering angle, generating a torque command for an electronic power steering system based on the effective steering angle error, and controlling an active rear steering system independently from the electronic power steering system.

Abstract: A method for identifying a region of interest in an environment surrounding a vehicle may include receiving interest data using a first vehicle sensor. The interest data includes a first measurement. The method further may include determining an intended path of the vehicle. The method further may include identifying the region of interest in the environment surrounding the vehicle based at least in part on at least one of: the interest data and the intended path of the vehicle. The method further may include performing a second measurement of the region of interest using a second vehicle sensor.

Abstract: A method to incorporate lane level road congestion to enhance vehicle navigation includes: collecting vehicle data from a fleet of vehicles; identifying a lane level distribution of multiple vehicles operating on a road having multiple lanes including a host vehicle; comparing the lane level distribution against a non-congested lane of the road; and identifying if a lane level congestion is occurring in at least one of the multiple lanes.

Abstract: A cargo position tracking routine implemented in an electronic control unit of an automotive vehicle uses machine vision to monitor the position of cargo in a cargo area of an automotive vehicle and determine whether the cargo has shifted. Upon determining that the cargo has shifted, the cargo position tracking routine causes a driver of the vehicle to be alerted.

Abstract: A map of a road network is displayed on a display of a system of an automotive vehicle with a an autonomous driving level indicator for each road in the road network that has autonomous driving available that indicates the level of autonomous driving that the road has available.

Abstract: A system is disclosed for use with a motor vehicle for analyzing a user set vehicle following distance (VFD) in view of at least one type of information provided to an adaptive cruise control system (ACCS) of the vehicle, and determining a new VFD. The ACCS enables a user to set a user desired speed and a user desired VFD. The ACCS may have a processor that receives data obtained from a data source remote from the vehicle, with the data relating to at least one of a changing traffic condition, a changing road condition or a changing weather condition. The processor may analyze the data to determine if the user set VFD should be modified, and if so, may determine a new VFD.

Abstract: A cargo position tracking routine implemented in an electronic control unit of an automotive vehicle uses machine vision to monitor the position of cargo in a cargo area of an automotive vehicle and determine whether the cargo has shifted. Upon determining that the cargo has shifted, the cargo position tracking routine causes a driver of the vehicle to be alerted.

Abstract: A computer-implemented method includes receiving, at a controller of a vehicle, the controller having one or more processors, image data of a road in front of and along which the vehicle is traveling, the road having a plurality of lane lines defining at least one lane. The method includes detecting a pair of the lane lines using the image data. The method includes determining that one of the pair of lane lines is an invalid lane line for defining a lane in which the vehicle is traveling. The method includes generating a virtual lane line based on previous image data in response to determining the invalid lane line, the virtual lane line being configured to replace the invalid lane line. The method also includes controlling lane keeping of the vehicle using the virtual lane line and the other lane line of the pair of lane lines.