Abstract:
Aspects presented herein may enhance the navigation function of navigation/map applications or systems when GNSS signals are weak or sporadic. In one aspect, a UE monitors a position of the UE based on GNSS communication, where the position of the UE is monitored using at least one first map layer of a plurality of map layers associated with a map. The UE detects that the position of the UE corresponds to a predefined location when the GNSS communication is below a communication threshold. The UE switches to monitoring the position of the UE using at least one second map layer of the plurality of map layers upon detecting that the position of the UE corresponds to the predefined location, where the at least one second map layer is associated with the predefined location.
Abstract:
Techniques and systems are provided for attention evaluation by an extended reality system. In some examples, the system determines one or more regions of interest (ROI) for an image displayed to a user. The system may also receive eye tracking information indicating an area of the image that the user is looking at. The system may further generate focus statistics based on the area of the image at which the user is looking at and the one or more ROI; and output the generated focus statistics.
Abstract:
In some implementations, a route selection system obtains a first scheduled time for a first event at a venue for a passenger of an autonomous vehicle. The system determines whether the autonomous vehicle will arrive at the venue by the first scheduled time. The system obtains, in response to a determination that the autonomous vehicle will not arrive at the venue by the first scheduled time, a second scheduled time for a second event at the venue. The system determines a route to the venue based on one or more preferences of the passenger, one or more preferences of an operator of the autonomous vehicle, or any combination thereof, wherein the determined route is configured for arrival of the passenger at the venue after the first scheduled time and at or within a time period before the second scheduled time.
Abstract:
Various embodiments enable recovery with a robotic vehicle of an item placed by a user in a delivery area. The presence of the item in the delivery area may be determined using images captured by a camera, with descriptive recovery parameters derived and included in a recovery request. Recovery parameters may also include information stored in a user account and information input by a user using an application executing on a user device. The delivery area and application may be associated with the user account. The recovery request may be sent to a remote server which dispatches a robotic vehicle to the delivery area to recover the item and routes the robotic vehicle with the recovered item to a location based on information in the user account. A selection of robotic vehicle type may be based on the item's weight or one or more of its physical dimensions.
Abstract:
Systems and methods for determining whether a vehicle is driving in an unsafe or unsatisfactory manner are disclosed. In some implementations, a system may determine one or more driving scores for a vehicle based on observations of a driving behavior of the vehicle during a time period. The system may generate an indication of unsatisfactory driving based on at least one of the one or more driving scores exceeding a threshold value. The system may provide the indication of unsatisfactory driving to one or more entities. In some aspects, the system may identify one or more dangerous driving attributes exhibited by the vehicle during the time period based on the observations received from the one or more devices. The system may also generate the indication of unsatisfactory driving based at least in part on the identified dangerous driving attributes.
Abstract:
Various embodiments enable recovery with a robotic vehicle of an item placed by a user on a delivery pad. The presence of the item on the delivery pad may be sensed and various descriptive recovery parameters may be included in a recovery request. Recovery parameters may be derived from measurements acquired at the delivery pad, information stored in the user account, and information input by a user using an application executing on a user device. The application may be associated with the user account. The recovery request may be sent to a remote server which in turn dispatches a robotic vehicle to the delivery pad site to recover the item and routes the robotic vehicle with the recovered item to a location based on information in the user account. A robotic vehicle selection may be based on the item's weight or one or more of its physical dimensions.
Abstract:
The disclosure is directed to routing to a destination. An aspect determines a route from an origin to the destination, and recommends a location of interest. The location of interest is a location with a media density score is greater than a threshold and within a range of deviation from the route. The media density score is based on a number of recommendations of a media file related to the media density score.