A video display system for a vehicle includes a video display device disposed in the vehicle so as to be viewable by a driver of the vehicle. A camera is disposed at the vehicle and having an exterior field of view and operable to capture image data. A control includes a data processor. The control, responsive at least in part to processing by the data processor of captured image data, detects an object present exterior of the vehicle that is in the field of view of the camera, and determines if the detected object constitutes a hazardous condition. Responsive to determination of the hazardous condition, the control controls the video display device to automatically display an alert to the driver of the vehicle, with the alert including display of video images of the object that are derived from captured image data or a graphic overlay on displayed video images.

Aspects of the present disclosure relate to generating turn-by-turn direction previews. In one aspect, one or more computing devices, may receive a request for a turn-by-turn direction preview. The one or more computing devices may generate a set of directions from a first geographic location to a second geographic location. Each turn of the directions may be associated with a corresponding waypoint. The one or more computing devices may then identify street level images corresponding with the waypoints, and display a preview of their associated turns by displaying their street level images and a map in between.

Provided are methods, systems, devices, apparatuses, and tangible non-transitory computer readable media for navigation and geocoding. The disclosed technology can perform operations including accessing semantic tags associated with images. Each of the semantic tags can be associated with features depicted by one of the images. Further, each of the features can be associated with a geographic location. Based on the semantic tags, landmarks that include the features that satisfy entropic criteria can be identified. The entropic criteria can measure a localized prominence of each of the one or more features. A landmark for use in navigation at the location can be selected based on context data associated with a location on a path that includes a plurality of locations. Furthermore, at least one navigational instruction that references the landmark can be generated.

A method includes: receiving, in a first device, a relative description file for physical markers that are positioned at locations, the relative description file defining relative positions for each of the physical markers with regard to at least another one of the physical markers; initially localizing a position of the first device among the physical markers by visually capturing any first physical marker of the physical markers using an image sensor of the first device; and recognizing a second physical marker of the physical markers and a location of the second physical marker without a line of sight, the second physical marker recognized using the relative description file.

A navigation system configured to provide driving instructions to a driver of a moving vehicle based on real-time description of objects in a scene pertinent to driving the vehicle is provided. The navigation system includes an input interface configured to accept a route for driving the vehicle, a state of the vehicle on the route at a current instance of time, and a dynamic map of a set of salient objects pertinent to the route of the vehicle at the current instance of time, wherein at least one salient object is an object perceived by a measurement system of the vehicle moving on the route between a current location at the current instance of time and a future location at a future instance of time, wherein the set of salient objects includes one or multiple static objects and one or multiple dynamic objects, a processor configured to generate a driving instruction based on a description of a salient object in the dynamic map derived from a driver perspective specified by the state of the vehicle; and an output interface configured to render the driving instruction to the driver of the vehicle.

A system and method for associating an address for an object is disclosed. A smart address server is provided with a processor and memory. The smart address server is configured to receive a geo location for the object, the geo location indicative of the latitude and longitude of the location of the object. The geo location of the object is converted into a zone, sector, and target portion to generate a ZST location indicator for the object. An elevation portion is appended to the ZST location, to generate a ZSTE location indicator for the object. An object ID is assigned to the object and the object ID is appended to the ZSTE location indicator to generate a smart address for the object. The generated smart address is stored in a data store.

An augmented reality system and method for mobile device discovery with indoor and outdoor navigation includes a user device with a processor, memory, a touchscreen user interface and a wireless data interface. The processor generates a map display on the touchscreen including indicia illustrating a position of each of a plurality of MFPs on an associated premises. The processor receives a user selection of an indicia via the touchscreen and displays data corresponding to a status of a selected MFP associated with the user selected indicia. The processor receives a second user selection associated with the user selected indicia via the touchscreen and displays navigation data corresponding to navigation to the selected MFP.

Method and system for adjusting a vehicular component based on vehicle position includes obtaining kinematic data from an inertial measurement unit (IMU), deriving, using a processor, information about current vehicle position from the data obtained from the IMU and an earlier known vehicle position, and adjusting the derived current vehicle position to obtain a corrected current vehicle position. The latter is achieved by obtaining images of an external vehicle area using a camera assembly in a fixed relationship to the IMU, identifying multiple landmarks in each image, analyzing each image to derive positional information about each landmark, identifying discrepancies between image-derived positional information about each landmark and positional information about the same landmark obtained from a map database, and adjusting the derived current vehicle position based on identified discrepancies to obtain the corrected current vehicle position. Operation of the component is changed based on the corrected current vehicle position.

A computer-implemented method for providing landmark-assisted navigation guidance by selectively utilizing database information includes receiving navigation requests from one or more mobile computing devices, each of the requests being associated with a respective starting point, destination, and travel mode. For each navigation request, a corresponding route to be depicted in a corresponding digital map is determined. For each navigation request associated with a first travel mode, corresponding points of interest (POIs) are determined from among a plurality of POIs stored in a database. The corresponding POIs are determined based on at least a zoom level of the corresponding map and whether the corresponding POIs are associated with any landmark category. For each navigation request associated with a second travel mode, corresponding POIs are determined based on at least a zoom level of the corresponding map, but irrespective of whether the corresponding POIs are associated with any landmark categories.

A map system is a system for autonomously navigating a vehicle along a road segment and includes at least one processor. The processor acquires at least one image representing the environment of the vehicle from the imaging device, acquires the brightness of the environment of the vehicle, analyzes the image to calculate the position of the landmark with respect to the road on which the vehicle travels, determines the position of the own vehicle based on the position of the landmark calculated from the image and the map information stored in the server, and emits an illumination light in a direction in which a presence of the landmark is estimated when the brightness is equal to or less than a predetermined threshold value.