A method for processing map data includes: determining a first region for which a map display image is to be drawn; determining multiple first reference points within the first region according to a second region corresponding to the first region; determining relative height data of the first region according to positions and real height data of all the first reference points; and determining a map display image of a position to be displayed according to the relative height data, in which the position to be displayed is within the first region.

Among other things, one or more techniques and/or systems are provided for providing users with access to a route for travelling. A user, of a client device, may send a request for access to the route to a route planning service. The route may correspond to a starting location and an ending location. The route planning service may query a route database to identify an entry indicating that a restricted access road segment (e.g., a high occupancy vehicle lane, a shoulder lane, a bus lane, etc.) and/or a road segment (e.g., comprising a traffic light alteration capability) exists between the starting location and the ending location. Responsive to successfully authorizing the user for travelling the restricted access road segment and/or the road segment, the route, comprising the restricted access road segment and/or the road segment, may be provided to the client device.

Driving assistance systems, methods, and programs accept an inputted planned travel route from the route guidance system, provide driving assistance of the vehicle on the planned travel route, based on driving assistance map data, and obtain, when versions of the route guidance map data and the driving assistance map data do not match each other, the driving assistance map data whose version matches the version of the route guidance map data from a map provider. Route guidance systems search for a planned travel route based on route guidance map data, provide guidance on the planned travel route, output the planned travel route to the driving assistance system, and obtain, when versions of the route guidance map data and the driving assistance map data do not match each other, the route guidance map data whose version matches the version of the driving assistance map data from a map provider.

A computer-implemented method of generating and broadcasting telematics and/or image data is provided. Telematics and/or image data may be collected, with customer permission, in real-time by a mobile device (or a Telematics App running thereon) traveling within an originating vehicle. The telematics data may include acceleration, braking, speed, heading, and location data associated with the originating vehicle. The mobile device may generate an updated telematics data broadcast including up-to-date telematics data at least every few seconds; and then broadcast the updated telematics data broadcast at least every few seconds via wireless communication to another computing device to facilitate alerting another vehicle or driver of an abnormal traffic condition or event that the originating vehicle is experiencing. An amount that an insured uses or otherwise employs the telematics data-based risk mitigation or prevention functionality may be used with usage-based insurance, or to calculate or adjust insurance premiums or discounts.

A method, apparatus and computer program product are provided to estimate the location of a vehicle based at least in part upon two or more road signs that are depicted by one or more images captured by one or more image capture devices onboard the vehicle. By relying at least in part upon the two or more road signs, the location of the vehicle may be refined or otherwise estimated with enhanced accuracy, such as in instances in which there is an inability to maintain a line-of-sight with the satellites of a satellite positioning system or otherwise in instances in which the location estimated based upon reliance on satellite or radio signals is considered insufficient. As a result, the vehicle may be navigated in a more informed and reliable manner and the relationship of the vehicle to other vehicles may be determined with greater confidence.

This application provides a route display method performed by a computer device. When a route planning request for a route planning mode is obtained from a terminal device, a corresponding route planning result and original interpretation data involved in the current route planning result are determined; a route interpretation scenario corresponding to the original interpretation data and the route planning mode are used to query a corresponding target interpretation template; and a target interpretation element that needs to be displayed when the route planning result is displayed in an electronic map on the terminal device is determined through the target interpretation template, to explain the route planning result by using the target interpretation element. Such a manner of interpreting templates can store, query, modify and synchronize the interpretation templates through a database, so that combinations of various route planning modes and route interpretation scenarios can be decoupled from each other.

A vehicular positioning method is provided for positioning a vehicle that is running on a road, where the road has a plurality of feature objects that have the same detectable feature and that are disposed along the road. The vehicle is provided with a system that counts a number of the feature objects the vehicle has passed by as the vehicle runs on the road, and that calculates a travelling distance the vehicle has traveled on the road based on the number counted thereby, an object length of the feature objects, and spacing between adjacent two of the feature objects. Then, the system displays an electronic map that shows the road and that indicates a position of the vehicle on the road based on the calculated travelling distance.

Implementations set forth herein relate to an automated assistant that can operate according various driving-optimized modes depending on a degree of confidence that a user is predicted to be traveling in a vehicle. For instance, the automated assistant can automatically operate according to a driving-optimized mode when a prediction that the user is traveling corresponds to a certain degree of confidence. Alternatively, when a prediction that a user is traveling corresponds to lesser degree of confidence, the automated assistant may not operate according to the driving-optimized mode until the user expressly selects to transition the automated assistant into the driving-optimized mode. When the user selects the driving-optimized mode, a driving mode GUI can be rendered with a navigation interface that may include directions to a predicted destination of the user and/or another interface with content suggestions for the user.

Routes may be presented to a vehicle operator with information about predicted autonomous driving levels. A road network route to a destination is received. The road network route is partitioned into segments. Indicia of the segments are provided to an inference engine. The inference engine predicts levels of autonomous driving for the respective segments generated by the inference engine based on the indicia of the segments. Based on the predicted levels of autonomous driving for the respective segments, a ratio of a level of autonomous driving for the road network route is computed. The ratio corresponds to a proportion of time and/or distance for the road network route during which a driver-system is predicted to be engaged at the level of autonomous driving. A user interface is displayed, which includes a graphic representation of the road network route and a graphic indication of the ratio.

A method of operation of a navigation system includes: determining a geographic location, of a vehicle, while a global positioning location is blocked by an obstruction and the geographic location is from an in-vehicle location sensor in the vehicle; extracting an image line from a surrounding image with an artificial intelligence model and the surrounding image is from an in-vehicle image sensor in the vehicle; transforming an image coordinate of the image line to a world coordinate of a HD map local storage based on the geographic location; extracting a map line from the HD map local storage based on the world coordinate; determining a pose relationship between the image line and the map line paired as either horizontal or vertical; generating a map-related location for the vehicle based the geographic location and the pose relationship; and communicating the map-related location for displaying on a user interface.