An approach is provided for generating navigation data of a geographical location. The approach involves identifying a landmark located along a source road from a source image and segmenting the source image using a deep learning model to identify a segmentation mask. The approach also involves generating a template image based on the segmentation mask and a street image of the landmark, and matching the template image successively with a sequence of images of the landmark to determine a confidence score. The approach further involves, identifying a first image from the sequence of images with confidence score below a predetermined threshold, and selecting a second image with confidence score above the predetermined threshold from the sequence of images. The approach further involves calculating a visibility distance of the landmark based on the source image and the second image, and generating the navigation data based on the calculated visibility distance.

A vehicular driver monitoring system includes an interior electrochromic rearview mirror assembly and a camera disposed at the interior electrochromic rearview mirror assembly behind and viewing through an electrochromic mirror reflective element into the interior cabin of the vehicle. Supplemental sources of near infrared illumination are integrated into the mirror assembly that, when powered to emit near infrared light, illuminate at least a front seating area within the interior cabin of the vehicle. Presence of the camera is not readily apparent to an occupant sitting in the interior cabin of the vehicle. The interior electrochromic rearview mirror assembly includes a processor that processes image data captured by the camera. The camera at least views a driver-side front seating area of the vehicle and, via processing at the processor of image data captured by the camera, the driver seated at the driver-side front seating area is monitored.

Systems and methods are disclosed herein for recovering inaccurate or missing base map data for an area while providing riders with incentive to refrain from selecting an alternate transportation service while experiencing increased wait times. A service receives a request for a driver and locates a driver to provide the service. The service determines whether the wait time for the rider exceeds a threshold wait time established by the service. If the service determines that the wait time exceeds the threshold wait time, the service identifies an object within a threshold vicinity of the rider known to have inaccurate or missing base map data. The service transmits a prompt for the rider to capture an image of the object. The service receives a rendering of the captured images from the client device, and activates a function via the client device if the images accurately capture the identified objects included in the prompt.

A vehicular driver monitoring system includes an interior electrochromic rearview mirror assembly and a camera disposed at the interior electrochromic rearview mirror assembly behind and viewing through an electrochromic mirror reflective element into the interior cabin of the vehicle. Supplemental sources of near infrared illumination are integrated into the mirror assembly that, when powered to emit near infrared light, illuminate at least the driver-side front seating area within the interior cabin of the vehicle. Presence of the camera is not readily apparent to an occupant of the vehicle. The camera at least (a) views the driver-side front seating area of the equipped vehicle and (b) views a passenger-side front seating area of the equipped vehicle. The driver of the equipped vehicle is monitored via processing at the processor of image data captured by the camera.

In some implementations, a method performed by data processing apparatuses includes receiving, from a requestor device, an item location request for an item. Map information is received for a mapped space in which the item is located. Item location coordinates are received corresponding to locations within the mapped space at which the item has been previously selected or scanned. The item location coordinates are mapped with respect to the mapped space, and a plurality of clusters are determined for the item location coordinates. For each cluster, a representative location of the cluster is determined. One of the clusters is selected, based at least in part on its representative location, and an estimated location of the item is provided to the requestor device, based at least in part on the representative location of the selected cluster.

To provide personalized data for display on a map, a server device obtains location data for a user and identifies locations that are familiar to the user based on the frequency and recency in which the user visits the locations. The server device then provides the familiar locations in search results/suggestions and annotates the familiar locations with a description of a relationship between the familiar location and the user. The server device also includes the familiar locations as landmarks for performing maneuvers in a set of navigation instructions. Furthermore, the server device provides a familiar location as a frame of reference on a map display when a user selects another location nearby the familiar location. Moreover, the server device includes a familiar location as an intermediate destination when the user request navigation directions to a final destination.

Systems and methods are provided for constructing, using, and updating the sparse map for autonomous vehicle navigation. A system may comprise a processor and a memory. The memory may include instructions, which when executed on the processor, cause the processor to maintain a map; determine, based on analysis of image data, an existence of a non-transient condition that is inconsistent with the map, the image data from a camera integrated with the autonomous vehicle; and update the map.

An augmented reality (AR) module receives a location notification including a current location from a client device. The AR module determines an AR tabletop view based on the current location. The AR tabletop view includes geographic information representing a geographic area that includes the current location. The AR module sends the AR tabletop view to the client device. The AR module receives a destination notification including a destination location within the represented geographic area. The AR module transitions the AR tabletop view into an AR world view based on the current location and the destination location. The AR module sends the AR world view to the client device for display.

Systems and methods are provided for autonomous navigation based on user intervention. In one implementation, a navigation system for a vehicle may include least one processor. The at least one processor may be programmed to receive from a camera, at least one environmental image associated with the vehicle, determine a navigational maneuver for the vehicle based on analysis of the at least one environmental image, cause the vehicle to initiate the navigational maneuver, receive a user input associated with a user's navigational response different from the initiated navigational maneuver, determine navigational situation information relating to the vehicle based on the received user input, and store the navigational situation information in association with information relating to the user input.

Systems and methods are provided for constructing, using, and updating the sparse map for autonomous vehicle navigation. A method may comprise processing, by a mapping server, collected navigation information from a plurality of vehicles obtained by sensors coupled to the plurality of vehicles, wherein the navigation information describes road lanes of a road segment; collecting data about landmarks identified proximate to the road segment, the landmarking including a traffic sign; generating, by the mapping server, an autonomous vehicle map for the road segment, wherein the autonomous vehicle map includes a spline corresponding to a lane in the road segment and the landmarks identified proximate to the road segment; and distributing, by the mapping server, the autonomous vehicle map to an autonomous vehicle for use in autonomous navigation over the road segment.