G01C21/3476

CLUSTER GENERATION APPARATUS, CLUSTER GENERATION METHOD, AND A NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
20230018382 · 2023-01-19 · ·

A cluster generation apparatus includes processing circuitry configured to acquire position information and time information for a plurality of users; generate a cluster based on spots visited by the users by using the position information for the users, the cluster being a classification of the users; and generate, for each generated cluster, a movement route based on a history of movement of the cluster between the spots, from the time information and the position information for the users belonging to the cluster.

GARBAGE DISPOSAL SUPPORT APPARATUS AND GARBAGE DISPOSAL SUPPORT METHOD

A garbage disposal support apparatus capable of reducing the load on a person disposing of garbage is achieved. A garbage disposal support apparatus includes: a position obtaining unit configured to obtain position information about a person having an object; an object image obtaining unit configured to obtain image information about the object that the person has; a garbage determination unit configured to check the image information about the object that the person has against garbage image information stored in a database, and determine whether the object is garbage or not; a route generation unit configured to generate route information to a disposal place of the garbage, based on the position information about the person and on disposal place information stored in the database, if the object is garbage; and a transmitter unit configured to transmit the route information to a display apparatus.

ELECTRIC VEHICLE TRIP PLANNER

Systems and methods are provided for suggesting a charging station for an electric vehicle. A destination of the electric vehicle is determined, and a schedule of a user of the electric vehicle is accessed. An event scheduled during a travel period to reach the destination is identified in the schedule of the user, and a suggested charging station is selected based at least on the destination and the identified scheduled event. The suggested charging station is generated for presentation at a display.

METHODS FOR PLANNING GARBAGE CLEANING ROUTE IN SMART CITIES AND INTERNET OF THINGS SYSTEMS THEREOF

The embodiments of the present disclosure provide a method for planning a garbage cleaning route in a smart city and an Internet of Things (IoT) system. The method is implemented by the Internet of Things system for planning a garbage cleaning route in a smart city. The IoT system includes a user platform, a service platform, a management platform, a sensor network platform and an object platform. The method is performed by the management platform. The method includes obtaining monitoring information on at least one road in a road network area, and recognizing a garbage accumulation situation on the at least one road; determining at least one target garbage cleaning point based on the garbage accumulation situation; and determining a garbage cleaning route based on the at least one target garbage cleaning point.

DELIVERY MANAGEMENT SERVER, UNMANNED DELIVERY ROBOT, UNMANNED CARGO AIRCRAFT FOR DELIVERING GOODS REFLECTING NAVIGATION ROUTE INFORMATION OF A VEHICLE

A delivery management server includes: a control module for searching for a plurality of delivery locations located on a navigation route among the navigation information and transmitting the searched delivery locations, when order information and navigation information of goods are received; and a determination module for determining an assembly point to receive goods loaded in an unmanned cargo aircraft according to the order information and an unmanned delivery robot to receive the goods from the assembly point and deliver them to the delivery location to receive the goods from the assembly point and deliver the same to the delivery location, so that the goods can be delivered to the delivery location within the estimated arrival time, when the delivery location selected by the user among the plurality of delivery locations and the estimated arrival time of the vehicle to the selected delivery location are received.

Method, apparatus, computer device and storage medium for determining POI alias

Embodiments of the present disclosure provide a method, apparatus, computer device, and storage medium for determining a POI alias. The method may include: acquiring a to-be-processed target POI, and generating a candidate alias list corresponding to the target POI based on a query behavior-associated log matching the target POI; and screening out at least one target alias corresponding to the target POI in the candidate alias list, according to an association relationship between each candidate alias in the candidate alias list and the target POI.

Parking zone detection for vehicles
11550324 · 2023-01-10 · ·

Techniques and methods for identifying parking zones. For instance, a vehicle may identify a parking zone located near a destination location for the vehicle. The vehicle may then generate one or more lines representing the parking zone. Additionally, the vehicle may generate polygons representing objects located proximate to the parking zone. The vehicle may then determine whether the one or more lines intersect with one or more of the polygons. If the vehicle determines that the one or more lines intersect with one or more of the polygons, then the vehicle may identify one or more first portions of the parking zone that are occupied by one or more objects and as such, unavailable. Using the one or more first portions, the vehicle may identify one or more second portions of the parking zone that are not occupied by objects and as such, available.

Dynamic geolocation optimization of pickup locations using location scores
11692833 · 2023-07-04 · ·

Embodiments provide techniques, including systems and methods, for determining alternate request locations based on a pickup location score (PLoS) of a location associated with transportation request information. A pickup location score may include an objective quantitative measurement of the fitness of a location for a pickup by a provider. For example, embodiments may receive transport request information associated with a requestor computing device including a request location, determine a modified request location based at least on a location score for each of one or more alternate request locations that are within a threshold distance of the request location, and send modified transport request information associated with the modified request location and the first requestor computing device to a provider computing device associated with a matched provider for the transport request information.

POINT OF INTEREST-BASED INFORMATION RECOMMENDATION METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM
20220412758 · 2022-12-29 · ·

A point of interest (POI)-based information recommendation method and apparatus, an electronic device, and a computer-readable storage medium are provided. The method includes: determining an encircling region encircling a POI in an electronic map; using an original boundary of the encircling region as an inner boundary and performing expansion processing on the inner boundary, to obtain an outer boundary of the encircling region; determining candidate location relationships between a terminal device and the inner boundary and the outer boundary according to positioning data of the terminal device; determining a real-time state according to a historical state of the terminal device and the candidate location relationships, the real-time state being used for representing a location relationship between the terminal device and the inner boundary; and controlling, according to the real-time state, information about the POI outputted through a location service.

INFORMATION PROCESSING METHOD AND INFORMATION PROCESSING SYSTEM

Provided is an information processing method executed by a computer, the information processing method including: acquiring a delivery destination of each of packages; acquiring candidates for a stop place for a mobile body that delivers the packages to stop; determining a group to which at least one delivery destination belongs based on a location of each of the delivery destinations; determining a stop place for the group based on a location of the at least one delivery destination belonging to the group and the candidates for the stop place; and outputting the stop place determined.