The present disclosure is related to generating map data explicitly indicating a total drivable surface, which may include multiple types of drivable surfaces. For instance, a given portion of a map may include map data indicating a combination of various drivable surfaces, such as road segments, lane properties, intersections, parking areas, shoulders, driveways, etc. Examples of the present disclosure join these different types of drivable surfaces into combined map data that explicitly indicates a total drivable surface, such as a perimeter boundary indicating or representing a transition from a drivable surface to a non-drivable surface. The map data indicating the total drivable surface may be searched to determine information related to a drivable surface boundary, such as location and type. This boundary information may be used in various contexts, such as when planning a trajectory or remotely controlling a vehicle.

Some embodiments provide a mapping application that displays a transit map including a group of transit lines. The mapping application receives a request to display a transit route in the transit map. The mapping application also, in response to the received request, displays the transit route by modifying portions of transit lines along the route to emphasize the portions of the transit lines while modifying other transit lines not along the route to de-emphasize the transit lines not along the route.

The present disclosure provides a method and an apparatus for creating an occupancy grid map, as well as a processing apparatus. The method includes: creating a current occupancy grid map based on a location of the vehicle and a previous occupancy grid map; and determining a current probability that each grid in the current occupancy grid map belongs to each of occupancy categories based on last environment perception information received from the sensors and updating an occupancy category to which each grid in the current occupancy grid map belongs based on the current probability that the grid belongs to each of the occupancy categories, in accordance with an asynchronous updating policy.

An automatic driving device generates a control plan for autonomously driving a vehicle using map data. The automatic driving device determines an acquisition status of the map data. The automatic driving device generates the control plan using the map data. The automatic driving device changes the control plan according to the acquisition status of the map data.

The present disclosure provides a method, an apparatus, a computing device and a computer readable storage medium for detecting an environmental change, and relates to the field of autonomous driving. The method obtains a global map for an area and a first local map built in real time for a sub-area in the area; and determines an environmental change in the first sub-area by comparing the first local map and the global map and determining a first probability of the environmental change. Techniques of the present disclosure can automatically detect environmental changes that affect the positioning of autonomous driving, thereby facilitating the updating of positioning maps.

To provide dynamic generation and suggestion of map tiles, a server device receives from a user device a request for map data for a particular geographic region. The server device obtains a set of user contextual data and a set of candidate map tiles associated with the particular geographic region. The server device then selects one or more of the set of candidate map tiles based on the set of user contextual data, and transmits the one or more selected map tile to the user device for display.

An aircraft-based or vehicle-based system and method for enhancing situational awareness via a display system for displaying map-based charts (e.g., terminal charts, enroute charts, avionics charts) displays an active map-based chart (specifically an active panel of the map-based chart) and superimposes over the displayed active panel a panel selector display, e.g., a thumbnail display of the active enroute chart with a subset of the information provided by the enroute chart and divided into its component panels. The panel selector display highlights the currently displayed active panel and provides an ownship indicator showing the approximate position of the aircraft or vehicle relative to the currently active enroute chart.

A method for generating thumbnails is disclosed. The method may include receiving an area map, and chart data having a geographical information set. The method may include generating a plurality of panels having one or more panel corners based on the chart data. The method may include projecting the one or more panel corners onto the area map, defining one or more corners of a plurality of areas to be extracted. The method may include determining an extraction mapping for each area to be extracted, the extraction mapping configured to map the plurality of areas to be extracted to a plurality of thumbnail panels. The method may include extracting area map data from each area to be extracted to generate a plurality of thumbnail panels using the determined extraction mapping. The method may include generating a thumbnail display by combining each thumbnail panel of the plurality of thumbnail panels.

Disclosed herein is a technique for processing map change data in a map client that uses the map changes to apply changes and updates to current map data. The map client provides the updated map data to other components in an autonomous vehicle. The map change data describes the processing in the map client to obtain updated map data from the map data.

The present disclosure includes a radar configured to detect surrounding objects and terrain, and a LIDAR configured to detect the surrounding objects and terrain using a narrower detection range and a higher resolution than the radar. The disclosure also includes a first map, such as a wide-area map, generated based on information about the surrounding as detected by the radar, a second map, such as a high-resolution map, based on information about the surroundings as detected by the LIDAR, and a composite map that has the grid width of the first map and the grid width of the second map.