A method for providing driving assistance based on a HD map includes acquiring information such as position of a vehicle and timing, and acquiring a speed of the vehicle based on the manner of driving, and acquiring distance an intersection in front of the vehicle and information from a HD map such as traffic light intersection ahead. Deciding such as whether the vehicle can pass through the intersection based on the speed of the vehicle, intersection distance, and the traffic light information and prompting and/or controlling the vehicle if it is determined that passage through is not possible. A vehicle-mounted apparatus applying the method is also disclosed.

The present specification discloses a method for displaying an AR navigation screen, and an AR navigation system. The method for displaying an AR navigation screen according to the present specification may comprise the steps of: overlapping and displaying images of the surroundings of a vehicle and a plurality of AR images corresponding to the images of the surroundings; generating a window for separately displaying a first area including AR images overlapping at least one of the plurality of AR images; and overlapping and displaying the window and the images of the surroundings. The invention of the present specification has the effect of improving user convenience and promoting safe vehicle operation by using a window when AR images and the like are difficult to recognize due to being overlapped.

A vehicle allocation control device, when a forgotten item in the vehicle is detected after setting a first travel route including a drop-off place, is configured to: calculate a first time at which the vehicle arrives at the drop-off place by travelling along the set first travel route, set at least one second travel route which is different from the first travel route and goes through a facility for depositing the forgotten item, calculate a second time at which the vehicle arrives at the drop-off place by travelling along the second travel route, and change the first travel route to the second travel route where a time difference between the first time and the second time is equal to or less than a permissible time.

A method includes, by a processor, acquiring number of persons information that indicates a number of users, including users who ride in vehicles, who depart from a facility at each of a predetermined time period, weather information for each predetermined time period, and vehicle information relating to vehicles traveling in a periphery of the facility, determining traffic jam status that indicates absence/presence of a traffic jam on a road located in a vicinity of the facility in the predetermined time period, by using the vehicle information; and generating a learned model for predicting a traffic jam of a road by machine learning using, as teaching data, the number of persons information, the weather information, and the traffic jam status that is associated with the number of persons information and the weather information.

A vehicle charging method includes obtaining overall trip information of a vehicle, the overall trip information including at least one trip segment, assigning a charging strategy to each trip segment, and according to the trip segment and a corresponding charging mode, performing a charging service on the vehicle during a trip of the vehicle. In response to existence of a driving trip segment, a driving charging mode is assigned corresponding to the driving trip segment. In response to existence of a parking trip segment, a stationary charging mode is assigned corresponding to the parking trip segment.

A traffic safety control method is provided. The method includes determining whether there is an intersection in front of a vehicle. When there is the intersection in front of the vehicle, a driving direction of the vehicle at the intersection is predicted according to a plurality of lane positions of the vehicle that are continuously obtained. A message is transmitted once the predicted driving direction is determined to be conflicting with a traffic rule of the intersection.

A computer includes a processor and a memory, the memory storing instructions executable by the processor to collect biometric data of a vehicle user, identify a set of user-specific data from one or more stored sets of user-specific data based on the biometric data, and receive a request for a stored location. When the biometric data of the vehicle user match the stored biometric data, the instructions include instructions to display the requested location. When the biometric data of the vehicle user do not match the stored biometric data, the instructions include instructions to identify an offset location based on the requested location and a population density of the requested location and display the offset location.

Disclosed herein is a method of receiving, by a terminal of a vulnerable road user (VRU), a signal in a wireless communication system. The method include receiving a message related to a safety service of the VRU from a network, and outputting a warning message based on comparing a field defining a geographic area, in which the safety service is provided, in the message and a position of the terminal, wherein the warning message is output based on determining that the terminal exists within the geographic area.

A configuration is achieved in which display data selected on the basis of characteristic information acquired while a vehicle is traveling is displayed on a display unit inside the vehicle. The configuration has a data processing unit that executes display control of data output to the display unit provided inside a mobile device. The data processing unit acquires characteristic information while the mobile device is traveling, and decides, on the basis of the acquired characteristic information, display data to be output to the display unit. The data processing unit selects display data recorded corresponding to the acquired characteristic information from a characteristic-information corresponding display data storage database, generates an AR image obtained by superimposing the selected display data on a real object image that is an image captured by a camera mounted on the mobile device, and outputs the AR image to the display unit.

The present disclosure provides a method for optimizing map data, a device and a storage medium, and in particular relates to artificial intelligence, intelligent transportation, smart cities and smart cockpits. A specific implementation is: performing a completeness detection of a lane line on received local map data comprising road condition information to obtain a detection result, the detection result comprising the lane line being complete or is the lane line having a missing area; in a case where the detection result is the lane line having the missing area, performing completion processing on the lane line having the missing area to obtain completed local map data; and performing a rationality detection on the completed local map data, and in a case of passing the detection, synthesizing the completed local map data with global map data to obtain an optimization result of map data.