An information processing method is an information processing method executed by a computer, and includes: obtaining first information related to a service executed by each of at least one mobile body, among a plurality of mobile bodies that move autonomously, when an event to which a responder is to respond by traveling to a position of the at least one mobile body is occurring in the at least one mobile body; calculating, based on the first information obtained, a response necessity level indicating a degree of a necessity to respond to the event, for each of the at least one mobile body; and outputting second information related to the response necessity level calculated.

Disclosed herein are an unmanned vehicle monitoring apparatus and method. The unmanned vehicle monitoring apparatus may include a safety device including at least one of a parachute or an additional wing, or a combination thereof, and a multi-functional data recording module configured to monitor a flight state of an unmanned vehicle to detect an anomaly, control driving of the safety device according to an anomaly detection result, and record flight status data of the unmanned vehicle in a memory.

Disclosed herein are an unmanned vehicle monitoring apparatus and method. The unmanned vehicle monitoring apparatus may include a safety device including at least one of a parachute or an additional wing, or a combination thereof, and a multi-functional data recording module configured to monitor a flight state of an unmanned vehicle to detect an anomaly, control driving of the safety device according to an anomaly detection result, and record flight status data of the unmanned vehicle in a memory.

An autonomous vehicle which includes multiple independent control systems that provide redundancy as to specific and critical safety situations which may be encountered when the autonomous vehicle is in operation.

An equipment identification system for identifying and operating one or more machines at a site. The system includes one or more connectivity modules, each connectivity module communicatively and physically coupled to one of the one or more machines. The system also includes a user device configured to communicate with the one or more connectivity modules via a network connection. In response to a user selection on an application hosted on the user device, one or more of the machines are identified by one or both of an audible signal or a visual signal.

A lawn mower control method and device, a lawn mower, and a storage medium. The method comprises: detecting operating data and sensing data of a plurality of operating sensors provided on a lawn mower, wherein the plurality of operating sensors comprise at least two different types of sensors (S101); fusing the sensing data of the plurality of operating sensors to obtain environment data around the lawn mower (S102); determining, when it is detected that a fault occurs in any of the operating sensors, a fault type of a faulty sensor according to the operating data of the faulty sensor and the environment data around the lawn mower, wherein the faulty sensor is an operating sensor in which a fault occurs (S103); and controlling, if the fault type of the faulty sensor is a first fault type, the faulty sensor to stop operating, and a backup sensor corresponding to the faulty sensor to start operating (S104). A redundant and accurate sensing function can be provided to enable accurate recognition of the fault type and effective handling of a fault.

A lawn mower control method and device, a lawn mower, and a storage medium. The method comprises: detecting operating data and sensing data of a plurality of operating sensors provided on a lawn mower, wherein the plurality of operating sensors comprise at least two different types of sensors (S101); fusing the sensing data of the plurality of operating sensors to obtain environment data around the lawn mower (S102); determining, when it is detected that a fault occurs in any of the operating sensors, a fault type of a faulty sensor according to the operating data of the faulty sensor and the environment data around the lawn mower, wherein the faulty sensor is an operating sensor in which a fault occurs (S103); and controlling, if the fault type of the faulty sensor is a first fault type, the faulty sensor to stop operating, and a backup sensor corresponding to the faulty sensor to start operating (S104). A redundant and accurate sensing function can be provided to enable accurate recognition of the fault type and effective handling of a fault.

The system includes a control unit that controls a mobile body that can be moved by unmanned driving using sensor information acquired from a sensor, and an inspection unit that inspects a manufacturing state of the mobile body by using at least one of sensor information and electronic component information acquired from an electronic component mounted on the mobile body.

The system includes a control unit that controls a mobile body that can be moved by unmanned driving using sensor information acquired from a sensor, and an inspection unit that inspects a manufacturing state of the mobile body by using at least one of sensor information and electronic component information acquired from an electronic component mounted on the mobile body.

An anti-tampering trigger system design apparatus includes an equipment simulation device that generates driving simulation data by simulating data output by equipment that is mounted on an unmanned aerial vehicle, a virtual unmanned aerial vehicle simulation device that generates a function result value by simulating a function of the unmanned aerial vehicle based on the driving simulation data, and generates a mission result value by simulating mission performance of the unmanned aerial vehicle using the function of the simulated unmanned aerial vehicle, and a machine learning device that performs machine learning of an anti-tampering trigger using the driving simulation data, the function result value, and the mission result value.