Systems and methods herein describe receiving a target location from a computing device, using a machine learning model: determining a first access point and a second access point associated with the target location, causing presentation of the first access point as a first selectable user interface element and the second access point as a second selectable user interface within a graphical user interface on the computing device, receiving a first selection of the first selectable user interface element from the computing device; and in response to receiving the first selection, and initiating a trip request based on the refined map coordinates of the first access point.

A computer-implemented method of receiving and processing a wireless emergency alert at a vehicle comprises receiving, at a computer system of the vehicle, the wireless emergency alert over a wireless communication network. The wireless emergency alert may include an alert message and geographical coordinates defining one or more alert areas associated with the emergency alert. The method may further include comparing, via the vehicle computer system, a current location of the vehicle with the geographical coordinates to determine whether the vehicle is within or near the alert area(s) and, if the vehicle is within or near the alert area(s), generating via the computer system a map illustrating the current location of the vehicle with respect to the alert area(s), and displaying the map at a display screen of the vehicle.

A non-transitory computer readable medium having instructions stored thereon that, when executed by at least one processor, cause the at least one processor to receive road quality data from at least one vehicle in a fleet of vehicles and determine a route for the at least one vehicle in the fleet of vehicles. The road quality data may be gathered by at least one sensor configured to detect autonomous vehicle movements and orientation. The route may avoid a segment of road that is associated with poor road quality data.

A method for determining a route and time frame for the travel of a motor vehicle which assists the driver in planning their travel and in making fuller use of the technical potential of the motor vehicle is provided. For this purpose, the method includes the following steps: acquiring at least one destination, determining a travel route to the at least one destination; acquiring an adjustable travel mode of the motor vehicle for at least one first section of the travel route; determining the route and time frame for the travel of the motor vehicle depending on the acquired travel mode; and displaying the route and time frame of the travel.

A guidance assistance apparatus includes: a memory that stores a set of instructions; and at least one processor configured to execute the set of instructions to: acquire a guidance route through which a guided person is to be guided from routes from a start-point position to an endpoint position; calculate, based on information relating to the routes, an influence level on the guided person in a case in which the guided person deviates from the acquired guidance route, with respect to each of branch places at which the guidance route branches into a route different from the guidance route; and output the calculated influence level.

Navigation devices and methods of operation are provided. The navigation device includes a communication unit; a display; an input unit for receiving an input of data; a communication unit; and a controller for controlling operation of the display and the input unit. The controller connects to a data server through the communication unit, requests path setting information to the data server, receives the path setting information from the data server, acquires present position information of the navigation device, acquires a user moving path by reflecting the acquired position information and the received path setting information, and sets the user moving path as a guidance path. In this case, the path setting information is generated in another electronic device or the data server based on user input information input from the another electronic device.

The present invention relates to a method for reporting an electric car charging space in a parking lot, the method comprising: identifying whether a charger of each of charging spaces in a parking lot is being used; identifying whether a car exists in each of the charging spaces; and selecting a chargeable space and reporting the selected chargeable space.

An approach is provided for automatically verifying a road closure using multiple possible vehicle paths between two probe points. The approach involves, for example, processing probe data to determine a possible path of a vehicle over a road graph, wherein the road graph represents a road link and one or more other road links entering or exiting the road link. The approach also involves calculating a path probability for the possible path, wherein the path probability indicates a likelihood that the possible path is a true path of the vehicle over the road graph. The approach further involves assigning a weighted vehicle count to the road link and/or one or more other road links contained in the possible path, wherein the weighted vehicle count is based on the path probability. The approach further involves detecting a traffic anomaly occurring on the road link based on the weighted vehicle count.

Navigation devices and methods of operation are provided. The navigation device includes a communication unit; a display; an input unit for receiving an input of data; a communication unit; and a controller for controlling operation of the display and the input unit. The controller connects to a data server through the communication unit, requests path setting information to the data server, receives the path setting information from the data server, acquires present position information of the navigation device, acquires a user moving path by reflecting the acquired position information and the received path setting information, and sets the user moving path as a guidance path. In this case, the path setting information is generated in another electronic device or the data server based on user input information input from the another electronic device.

A driving assistance device performs autonomous driving based on an output from a sensor unit that acquires information on surroundings of a vehicle or information on the state of the vehicle. The driving assistance device stores an autonomous driving determination table based on autonomous driving compatibility information. By referring to the autonomous driving determination table based on sensor information on the sensor unit and road element information on a predetermined road section, the driving assistance device 1 determines a set of an autonomous driving function and an automation level that can be performed in the predetermined road section.