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.