Systems and methods are disclosed herein for monitoring a location of a client device associated with a transportation service and generating augmented reality images for display on the client device. The systems and methods use sensor data from the client device and a device localization process to monitor the location of the client device by comparing renderings of images captured by the client device to renderings of the vicinity of the pickup location. The systems and methods determine navigation instructions from the user's current location to the pickup location and select one or more augmented reality elements associated with the navigation instructions and/or landmarks along the route to the pickup location. The systems and methods instruct the client device to overlay the selected augmented reality elements on a video feed of the client device.

A software application and system may be configured to enable a smartphone or other device to be used by a visually impaired person to receive voice navigation guidance during a directed exploration of an area. Directed exploration uses combinations of location data, directional data, and orientation data from the configured device to determine a direction that user wishes to explore, and only providing narrated results for streets, businesses, and other points of interest in that direction. The system may also utilize sets of wireless indicators positioned within indoor areas to provide accurate positioning to particular locations and floors within buildings.

Systems and methods for communicating information related to a wearable device are disclosed. Exemplary information includes audio information.

A system, device, application stored on non-transitory memory, and method can be configured to help a user of a device locate and pick up objects around them. Embodiments can be configured to help vision-impaired users find, locate, and pickup objects near them. Embodiments can be configured so that such functionality is provided locally via a single device so the device is able to provide assistance and hand guidance without a connection to the internet, a network, or another device (e.g. a remote server, a cloud based server, a server connectable to the device via an application programming interface, API, etc.).

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.

Map-based security authentication challenges are disclosed. A user authentication method includes prompting a user to select a past route the user traveled for authentication in response to a request to access a banking computing resource. A map corresponding to the past route is transmitted to a mobile device of the user for display on the mobile device. The user is requested to trace the past route on the map. A machine learning model is invoked to compute a similarity score between the past route and a map tracing received in response to the request the user trace the past route. The method verifies a user identity, and when the similarity score satisfies a predetermined.

A method of obtaining a route from a point of departure to a destination includes providing route guidance through an augmented reality (AR) view including an image captured by a camera. To provide route guidance, as a user terminal moves toward a destination on the basis of an obtained route, when an interaction occurs between the user terminal and a node or a link in which predetermined information included in the route is registered, content associated with the predetermined information is augmented and displayed as guidance information on an image of an AR view.

In accordance with an aspect of the present disclosure, there is provided a landmark position estimating method performed by a landmark position estimating apparatus. The method comprises, identifying a first type landmark and a second type landmark from an image, captured by an image capturing device of a vehicle, including various landmarks on a driving route, estimating a three-dimensional position of the identified first type landmark based on a plurality of the images on which the first type landmark is identified and a digital map including a driving area of the vehicle, and estimating a position of the identified second type landmark on a virtual plane including the three-dimensional position of the first type landmark.

A route from a current location of a portable device to a destination is determined, where the route includes a sequence of directed sections. Navigation instructions to guide a user of the portable device along the route to the destination are generated. To this end, candidate navigation landmarks perceptible within a 360-degree range of the current location of the portable device are identified, a navigation landmark disposed in a direction substantially opposite to the direction of the first one in the sequence of directed sections is selected from among the candidate navigation landmarks, and an initial instruction in the navigation instructions is generated and provided via a user interface of the portable device. The initial instruction references the selected navigation landmark.

A driver assistance system for an ego vehicle, and a method for a driver assistance system is provided. The system is configured to refine a coarse geolocation method based on the detection of the static features located in the vicinity of the ego vehicle. The system performs at least one measurement of the visual appearance of each of at least one static feature located in the vicinity of the ego vehicle. Using the at least one measurement, a position of the ego vehicle relative to the static feature is calculated. The real world position of the static feature is identified. The position of the ego vehicle relative to the static feature is calculated, which is, in turn, used to calculate a static feature measurement of the vehicle location. The coarse geolocation measurement and the the static feature measurement are combined to form a fine geolocation position. By combining the measurements, a more accurate location of the ego vehicle can be determined.