Abstract: Devices, systems, and methods are provided for enhanced geographical caching of estimated arrival times. A method may include receiving respective user inputs indicative of respective users being in transit to a destination location from within a geographic region; determining, for the first user and the second user, a first estimated time of arrival from a first geographical area to the destination location, the first geographical area including the first location and the second location; identifying a third location of the first device at a third time, wherein the third location is within the first geographical area; determining that a time-to-live (TTL) of the first estimated time of arrival has not expired at the third time; and refraining from recalculating the first estimated time of arrival.

Abstract: Systems, methods, and computer-readable media are disclosed for systems and methods for autonomous device authentication and compartment unlocking. Example methods may include determining, by a user device, an identifier associated with a target Bluetooth Low Energy peripheral device, receiving a beacon from a Bluetooth Low Energy peripheral device, and determining, using the beacon, that the Bluetooth Low Energy peripheral device is the target Bluetooth Low Energy peripheral device. Example methods may include establishing a connection with the target Bluetooth Low Energy peripheral device, and sending a signal to the target Bluetooth Low Energy peripheral device to implement an action, where the signal comprises a resource identifier, and where the target Bluetooth Low Energy peripheral device controls access to a plurality of resources, and uses the resource identifier to identify a resource of the plurality of resources at which to implement the action.

Abstract: Techniques are disclosed for determining a location of an object based at least in part on a motion of the object. The techniques include generating a motion profile based at least in part on motion data received from a mobile device that is associated with the object. The techniques further include receiving, from a camera at a location, a plurality of images that identifies a candidate motion of a candidate object through at least a portion of the location. The techniques further include generating a candidate motion profile corresponding to the candidate motion of the candidate object based at least in part on the plurality of images. Based at least in part on a score generated by comparing the motion profile with the candidate motion profile, the techniques may determine that the candidate object is the object.

Abstract: A user location in a parking lot or other designated area may be identified based on sensor data, such as from one or more sensors in or around the designated area. Also within the designated area, a transport location of a transport associated with an order of the user may be identified based on image data provided by one or more cameras remote from the transport. The transport can be controlled to move from the identified transport location to the identified user location.

Abstract: A geographical-based fence is established around a store and when an indication is received that a customer is within the geographical-based fence, an estimated time of arrival (ETA) of the customer at the store and/or a time of travel (TOT) of the customer to the store may be determined. Based on the TOT, one or more action(s) may be performed. For example, as the customer comes within a first threshold TOT of the store, a first action may be performed, such as preparing item(s) within the order. As the customer comes within a second threshold TOT of the store, a second action may be performed, such as delivering the one or more items to the customer.

Abstract: Techniques are disclosed for determining a location of an object based at least in part on a motion of the object. The techniques include generating a motion profile based at least in part on motion data received from a mobile device that is associated with the object. The techniques further include receiving, from a camera at a location, a plurality of images that identifies a candidate motion of a candidate object through at least a portion of the location. The techniques further include generating a candidate motion profile corresponding to the candidate motion of the candidate object based at least in part on the plurality of images. Based at least in part on a score generated by comparing the motion profile with the candidate motion profile, the techniques may determine that the candidate object is the object.

Abstract: A system and method are disclosed, in which two or more points of a target object from a two-dimensional (2D) image may be “reverse projected” from a 2D plane to a 3D space. The method may comprise receiving a 2D image from a 2D camera, the 2D image including a representation of a physical topography and a target object of a plurality of target objects, the plurality of target objects being associated with a common physical characteristic, the common physical characteristic of the target object being detectable within the 2D image. The method may further comprise determining a position relative to the physical topography of the target object based upon a position of the target object in the image and the common physical characteristic of the target object.

Abstract: Upon receiving an indication that a customer is initiating travel to a merchant location to pick up one or more items, sensor data may be obtained by, and received from, a customer device of the customer. After the customer has arrived at the merchant location, the customer may be greeted or otherwise interacted with and a corresponding interaction time may be determined. The service provider may identify one or more stop events based on the sensor data, where a stop event indicates that a customer stopped while in transit to the merchant location. A most recent stop event prior to the interaction time may constitute the customer arriving/stopping at the merchant location, and a corresponding arrival time may be estimated. A wait time of the customer may be determined based on a difference between the interaction time and the arrival time.

Abstract: A system and method are disclosed, in which two or more points of a target object from a two-dimensional (2D) image may be “reverse projected” from a 2D plane to a 3D space. The method may comprise receiving a 2D image from a 2D camera, the 2D image including a representation of a physical topography and a target object of a plurality of target objects, the plurality of target objects being associated with a common physical characteristic, the common physical characteristic of the target object being detectable within the 2D image. The method may further comprise determining a position relative to the physical topography of the target object based upon a position of the target object in the image and the common physical characteristic of the target object.