Systems and methods may selectively collect information from a host vehicle. In one example, ft method may include causing collection of navigational information associated with an environment traversed by the host vehicle; storing the collected navigational information: determining, based on an output of at least one navigational sensor, a location of the host vehicle; transmitting the determined location of the host vehicle to a server: receiving, from the server and in response to the transmitted determined location, a request for transmission of a selected subset of the navigational information. collected by the host vehicle; and transmitting the selected subset of the navigational information to the server.

Systems and methods are provided for controlling vehicle operation. A processor may access route information for navigation of a route by the vehicle including data relating to speed along the route and calculate a speed of the vehicle along the route based on the route information. The processor may cause the vehicle to be operated at the calculated speed along the route; obtain dynamic information for the route based on data collected from one or more other vehicles on the route and indicating current conditions on the route which affect the speed of the vehicle along the route; and cause the vehicle to be operated at an updated speed along the route, based on the dynamic information.

An apparatus and method for providing a layer-based service with improved information accessibility are disclosed, and the method for providing a layer-based service with improved information accessibility according to an embodiment of the present application includes the operations of obtaining manipulation information and interface information for a target service, building an accessible layer corresponding to the target service by improving information accessibility associated with a user interface and a user experience of the target service based on the manipulation information and the interface information, and providing the target service based on the accessible layer.

A method, apparatus, and user interface for providing a vehicle change of direction detection system is disclosed. For example, image data of at least one vehicle may be obtained and a change of direction indicator for the vehicle based on the obtained image data is determined. One or more road segments may then be identified and the determined indicator is associated with the one or more identified road segments to update a map layer of a geographic database and/or perform other actions.

Techniques for determining map data for localizing a vehicle in an environment are discussed herein. A vehicle can capture sensor data such as image data and can detect objects in the sensor data. Detected objects can include semantic object such as traffic lights, lane lines, street signs, poles, and the like. Rays based on a pose of the sensor and the detected objects can be determined. Intersections between the rays can be determined. The intersections can be utilized to determine candidate landmarks in the environment. The candidate landmarks can be utilized to determine landmarks and to eliminate other candidate landmarks. The map data can be determined based on the three-dimensional locations and utilized to localize vehicles.

To provide context-aware audio navigation instructions, a server device obtains sets of audio navigation instructions previously provided to users along with sensor data descriptive of a context in which the audio navigation instructions were provided and an indication of whether a driver correctly responded to the audio navigation instructions. The server device trains a machine learning model using this data, where the machine learning model identifies audio navigation instruction parameters for a particular context. In response to a request for navigation directions, the server device receives sensor data from the client computing device generating the request that is indicative of the environment surrounding the client computing device. The server device then applies the sensor data and navigation instructions to the machine learning model to generate a set of audio navigation instructions responsive to the request. The server device provides the set of audio navigation instructions to the client computing device.

A navigation device, a navigation system, a navigation method, a navigation program, and a storage medium on which the navigation program is stored according to the present disclosure guide a user to a destination by calculating location information of one or more target points during route guidance based on route information from a current location to the destination, and generating and displaying an augmented reality image over a captured image captured by a camera, after correcting a location of a target point to be passed through first to another location of a point to be an actual target, in which the another location and a distance and a direction of progress from the current location are shown, in the case of moving along the route from the current location to the destination.

Systems and methods are disclosed for identifying landmarks. A method for identifying a landmark may include initiating identification of a landmark based on one or more images from a camera, for use in autonomous vehicle navigation, the landmark including a traffic sign; initiating updating a road model with a location of the landmark; and initiating distribution of the road model with the location of the traffic sign to a plurality of autonomous vehicles.

A method for landmark-based localization of a vehicle involves forming a plurality of position hypotheses for a vehicle position based on a forming of associations between sensor landmark objects detected by sensor and map landmark objects stored in a digital map. A most likely vehicle position is ascertained as the localization result on the basis of a probabilistic filtering of the position hypotheses, and a guaranteed position area is ascertained, in which a predefined error upper limit is not exceeded. This is performed several times with different set-ups of the probabilistic filtering. The localization result with the smallest guaranteed position area is selected as vehicle position if the guaranteed position areas overlap fully in pairs.

Example embodiments described herein therefore relate to an AR guidance system to perform operations that include: detecting a client device at a location within a geo-fenced area, wherein the geo-fenced area may include within it, a destination of interest; determining a route to the destination of interest from the location of the client device within the geo-fenced area; causing display of a presentation of an environment within an AR interface at the client device; detecting a display of real-world signage within the presentation of the environment; generating a media item in response to the detecting the display of the signage within the presentation of the environment, wherein the media item is based on the route to the destination of interest; and causing display of the media item within the AR interface based on the position of the signage within the presentation of the environment.