The invention relates to a method for preventing fatigue of a driver of a motor vehicle (4), with the steps of: acquiring position data (PDM) indicative of the position of the driver, and activating and/or deactivating light glasses (10) worn by the driver depending on an evaluation of the acquired position data (PDM) indicative of the position of the driver.

The invention relates to a method for preventing fatigue of a driver of a motor vehicle (4), with the steps of: acquiring position data (PDM) indicative of the position of the driver, and activating and/or deactivating light glasses (10) worn by the driver depending on an evaluation of the acquired position data (PDM) indicative of the position of the driver.

The disclosure relates to a method for evaluating a driving behavior, wherein detected driving data of at least one human driver, or detected driving data of at least one automated driving vehicle are obtained, wherein a key performance indicator is determined based on the obtained driving data, wherein both a travel time as well as an energy efficiency and/or emissions efficiency are taken into account in determining the key performance indicator, wherein the determined key performance indicator is provided as an evaluation result.

The disclosure relates to a method for evaluating a driving behavior, wherein detected driving data of at least one human driver, or detected driving data of at least one automated driving vehicle are obtained, wherein a key performance indicator is determined based on the obtained driving data, wherein both a travel time as well as an energy efficiency and/or emissions efficiency are taken into account in determining the key performance indicator, wherein the determined key performance indicator is provided as an evaluation result.

A server prepares a charging plan for a travel route to a destination. The server obtains an outside air temperature and a battery temperature. The server reads a map from a storage, and calculates an amount of required heat required for increasing the battery temperature to a target temperature by collating the outside air temperature and the battery temperature with the map. The server prepares the charging plan such that an SOC of a battery at the time of arrival at the destination attains to a prescribed SOC and a sum of an amount of heat generation by charging of the battery at a charging point and an amount of heat generation by charging and discharging of the battery with travel of a vehicle is equal to the amount of required heat.

A server prepares a charging plan for a travel route to a destination. The server obtains an outside air temperature and a battery temperature. The server reads a map from a storage, and calculates an amount of required heat required for increasing the battery temperature to a target temperature by collating the outside air temperature and the battery temperature with the map. The server prepares the charging plan such that an SOC of a battery at the time of arrival at the destination attains to a prescribed SOC and a sum of an amount of heat generation by charging of the battery at a charging point and an amount of heat generation by charging and discharging of the battery with travel of a vehicle is equal to the amount of required heat.

A display system may include a camera configured to capture an image of a calibration reference associated with an automobile, a display, and a controller in communication with the camera and the display. The controller may be configured to selectively adjust a color temperature of the display based on the image of the calibration reference.

A display system may include a camera configured to capture an image of a calibration reference associated with an automobile, a display, and a controller in communication with the camera and the display. The controller may be configured to selectively adjust a color temperature of the display based on the image of the calibration reference.

An around-view image processing method comprises: generating a first around-view image signal obtained by image synthesis using image information acquired from a plurality of cameras; generating a second around-view image signal obtained by image correction using image information acquired from the plurality of cameras over a predetermined period of time; and outputting the second around-view image signal or outputting the first around-view and second around-view image signals. When the first around-view and second around-view image signals are output, the around-view image processing method may further comprise selecting one image signal from the first around-view and second around-view image signals, and outputting the image signal selected from the first around-view and second around-view image signals.

In an embodiment, a method comprises detecting, at a processor of an autonomous vehicle, a discrepancy between a map and a property sensed by at least one sensor onboard the autonomous vehicle, the property being associated with an external environment of the autonomous vehicle. In response to detecting the discrepancy, and based on the discrepancy, an annotation for the map is generated via the processor. A signal representing the annotation is caused to be transmit to a compute device that is remote from the autonomous vehicle. A signal representing a map update is received from the compute device that is remote form the autonomous vehicle. The map update is generated based on the annotation, the map update (1) including replacement information for a region of the map associated with the annotation, and (2) not including replacement information for a remainder of the map.