Some embodiments provide a mapping application that displays a rotation of a 3D map and corresponding rotation of a set of map labels overlaying the 3D map in response to receiving input to rotate the 3D map. When a particular map label in the set of map labels rotates towards an upside down orientation, the mapping application also replaces the particular map label with a version of the particular map label arranged in a right side up orientation to prevent the particular map label from being displayed in the upside down orientation in the 3D map.

An image display method includes obtaining an image group, wherein the image group includes a plurality of images corresponding to multiple viewing angles; displaying a preset viewing-angle image, wherein the preset viewing-angle image is one of the images; and displaying the images within a predetermined time period continuously.

The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to the disclosed embodiments, the transportation matching system utilizes an image-based transportation request interface and environmental digital image stream to efficiently generate transportation requests with accurate pickup locations. For instance, the disclosed system can utilize one or more environmental digital images provided from a requestor computing device (e.g., a mobile device or an augmented reality wearable device) to determine information such as the location of the requestor computing device and a transportation pickup location within the environmental digital images. Furthermore, the disclosed system can provide, for display on the requestor computing device, one or more augmented reality elements at the transportation pickup location within an environmental scene that includes the transportation pickup location.

A method for determining a visible angle of a target object, an electronic device, and a storage medium are provided. The method includes: acquiring first point of interest POI data of the target object, second POI data of an occluder, and a position of an observation point; determining a first tangent line and a second tangent line of the target object, passing through the position of the observation point, according to the first POI data and the position of the observation point; determining a third tangent line and a fourth tangent line of the occluder, passing through the position of the observation point, according to the second POI data and the position of the observation point; and determining a target visible angle of the target object relative to the occluder according to the first tangent line, the second tangent line, the third tangent line, and the fourth tangent line.

A vehicle control device includes a recognizer that recognizes a situation around a host vehicle based on a detection result of an object detection device including a camera and an action plan generator that generates an action plan of the host vehicle based on a recognition result of the recognizer about a situation around the host vehicle. The action plan generator generates an action plan for, when it is predicted that the camera will be backlit while the host vehicle is traveling, avoiding that the camera is backlit at a prediction point and a prediction timing when it is predicted that the camera will be backlit.

The present invention provides a method of generating a robust global map using a plurality of limited field-of-view cameras to capture an environment. Provided is a method for generating a three-dimensional map comprising: receiving a plurality of sequential image data wherein each of the plurality of sequential image data comprises a plurality of sequential images, further wherein the plurality of sequential images is obtained by a plurality of limited field-of-view image sensors; determining a pose of each of the plurality of sequential images of each of the plurality of sequential image data; determining one or more overlapping poses using the determined poses of the sequential image data; selecting at least one set of images from the plurality of sequential images wherein each set of images are determined to have overlapping poses; and constructing one or more map portions derived from each of the at least one set of images.

The present technique relates to an information processing apparatus, an information processing method, a program, and a moving body that can appropriately display content on top of a scene viewed by a user. An aspect of the present technique provides an information processing apparatus that sets a frame as a superimposition location of content in a region corresponding to a surface of an object on the basis of a movement state of a user and generates visual information for displaying the content in the region corresponding to the set frame. The present technique can be applied to an apparatus that performs AR display of content.

System and methods are disclosed for providing efficient rendering of map data. Instead of providing a set of points that describe a geographic feature, e.g., systems and methods provide spline functions that allow a device to generate smooth and accurate overlays of the geographic feature on the fly without additional information, for example, when changing a zoom or scale level.

A route from a first physical location to a second physical location is divided into a set of segments using a route optimization engine. Using a user response analysis model, a response to a physical environment associated with a segment in the set of segments is scored, the scoring resulting in a score. Using a content generation model and the score, the physical environment is augmented, the augmenting combining the physical environment and a generated environment.

A method for operating a more highly automated vehicle (HAF), in particular a highly automated vehicle, including: S1—providing a digital map or a highly accurate digital map, in a driver-assistance-system of the HAF; S2—determining a current vehicle position and locating the vehicle position in the digital map; S3—providing at least one expected feature property of at least one feature in a surroundings of the HAF; S4—detecting at least one actual feature property of a feature in the surroundings of the HAF at least partially on the basis of the expected feature property; S5—comparing the actual feature property with the expected feature property and ascertaining at least one differential value; S6—checking the plausibility of the actual feature property at least partially on the basis of the differential value. Also described is a corresponding system and a computer program.