The disclosure provides a plant blooming period broadcast method and system, and a computer-readable storage medium. The method comprises: receiving an image, and identifying a plant in the image to obtain the species of the plant; using a plant variety identification model corresponding to the species of the plant to identify the specific variety and blooming state of the plant; obtaining the photographing time and photographing position of the image, and determining the blooming period of the plant according to the photographing time and the blooming state; and marking the photographing position on a blooming period broadcast map as a viewing place of the plant, and correspondingly displaying the specific variety and blooming period of the plant.

In an embodiment, a data processing method comprises obtaining, from a calendar database associated with a particular mobile computing device, an event record specifying an event, and a date value and a time value indicating a date and time of the event; obtaining, from a user location history table accessible to a server computer, historical location data specifying a plurality of past geographical locations of the particular mobile computing device; using the server computer, determining, based upon the plurality of past geographical locations of the particular mobile computing device, a predicted location of the event; based upon the predicted location of the event, a current location of the particular mobile computing device, and mode data specifying a particular mode of transportation, calculating a route of travel between the current location and the predicted location and an estimated duration of travel; determining, based upon the date value, time value, route of travel and estimated duration of travel, a recommended time to leave to arrive at the predicted location of the event approximately on time.

An approach is provided for detecting a vehicle door opening or closing event based on sensor data collected during a vehicle idle/stop state. The approach, for example, involves collecting sensor data from one or more sensors of a vehicle, a mobile device in the vehicle, or a combination thereof. The approach also involves determining a time period when the vehicle is in an idle state based on the sensor data. The approach further involves determining a vehicle door open event or a vehicle door close event based on pressure sensor data from at least one pressure sensor of the mobile device collected during the time period. The approach further involves providing the vehicle door open event or the vehicle door close event as an output.

According to one aspect, routing of an autonomous or semi-autonomous vehicle may be based at least in part upon the availability of particular geographical areas through which the vehicle may be routed. A geographical area may be defined, based on constraints such as road conditions, lane features, operational constraints, etc., such that at least one routing path between each of one or more sources and one or more destinations within the geographical area may be traversed by a vehicle. Constraints may be temporary and may be accounted for substantially in real-time when defining and/or updating a geographical area within which a vehicle is to operate. In some instances, an inclusion constraint can be defined based on a frequency of use of a given routing path associated with one or more points of interest for a geographical area. Accounting for constraints enables autonomous vehicles to be deployed safely and efficiently.

A method includes receiving one or more search terms at a mobile computing device while the mobile computing device is located at a particular location. A search query that includes the one or more search terms and a location history of the mobile computing device is transmitted to a server. The method also includes receiving one or more search results in response to the search query, where the one or more search results include content identified based on a predicted destination of the mobile computing device. An interface identifying the one or more search results is displayed at the mobile computing device.

A data processing method for a vehicle, a device, and a medium are provided, which relate to a field of an intelligent transportation technology, in particular to fields of autonomous driving, Internet of Vehicles and intelligent cockpit. The data processing method for the vehicle includes: determining a target format setting information associated with target data for a vehicle, in response to an acquisition of the target data; selecting, from a plurality of candidate format data, target format data associated with the target format setting information; and processing the target data based on the target format data to generate data to be displayed.

Disclosed embodiments include computer-implemented methods, systems, and vehicles for determining a travel range of a vehicle. In an illustrative embodiment, a perimeter is determined indicating a travel range of a vehicle from a starting location based on the capacity of the battery system. At least one charging location is identified within the perimeter. An option is provided to generate an extended perimeter indicating an extended travel range of the vehicle travel from the starting location based on a recharge of the battery system at the at least one charging location. Map data is generated including at least one visualized travel range chosen from the perimeter and the extended perimeter.

Various technologies described herein pertain to autonomous vehicle consumption of real-time public transportation data to guide curb access and usage. An autonomous vehicle receives a trip request for a ride specifying a requested pullover location. The autonomous vehicle receives public transportation data specifying an expected arrival time of a public transportation vehicle at a reserved zone within proximity of the requested pullover location. The autonomous vehicle evaluates availability of the reserved zone during an expected occupancy time of the reserved zone by the autonomous vehicle based on the expected arrival time of the public transportation vehicle at the reserved zone. The autonomous vehicle selects an actual pullover location for the ride in the autonomous vehicle based on the availability of the reserved zone during the expected occupancy time. The autonomous vehicle stops at the actual pullover location for the ride in the autonomous vehicle.

In implementations of systems for generating indications of traversable paths, a computing device implements a navigation system to receive map data describing a map of a physical environment that includes a destination, locations of display devices and relative orientations of the display devices in the physical environment. The navigation system forms a navigation graph by representing the destination and the locations of the display devices as nodes of the navigation graph and connecting the nodes with edges that indicate traversable path segments in the physical environment. Request data is received describing a request for navigation to the destination and a source of the request. The navigation system generates indications of a traversable path to the destination for display by the display devices based on the navigation graph and the relative orientations of the display devices.

A method of recommending an information, an electronic device, and a storage medium, which relate to a field of a computer technology, in particular to fields of big data, intelligent recommendation, cloud services, etc. The method includes: determining a first related information related to a travel destination; determining, in response to a travel mode selected for going to the travel destination, a second related information related to the travel mode; determining, from the first related information and the second related information, a target related information matched with a current travel state, according to the current travel state related to going to the travel destination in the travel mode; obtaining, according to the target related information, a travel stage recommendation information corresponding to the current travel state; and outputting the travel stage recommendation information.