In an embodiment, a method for commissioning a sensor via a communication unit includes scanning, by the communication unit, a sensor-identifying feature of the sensor to provide sensor-identifying data and sending, by the communication unit to a system controller, the sensor-identifying data. The method further includes receiving, by the communication unit from the system controller, one or more contextual prompts regarding a sensed object to which the sensor is operatively connected and, in response to the contextual prompts, sending, by the communication unit to the system controller, sensed object information. Thereafter, the method further comprises receiving, by the communication unit from the system controller, confirmation of commissioning of the sensor. A corresponding method in the system controller, as well as corresponding apparatus, are also described.

An autonomous moving apparatus control system including a range sensor, a reflection plate, and a control unit. The range sensor is installed in a cage of an elevator and detects a distance to an object by receiving reflected light of signal light applied to the object. The reflection plate is disposed in an elevator hall of a floor on which the elevator stops, and reflects the signal light. The control unit determines whether or not a mobile robot, which is an autonomous moving apparatus, can get on and off the elevator based on a detected distance, the detected distance being a distance to the reflection plate detected by the range sensor.

In one embodiment, a computing system of a vehicle generates perception data based on sensor data captured by one or more sensors of the vehicle. The perception data includes one or more representations of physical objects in an environment associated with the vehicle. The computing system further determines simulated perception data that includes one or more representations of virtual objects within the environment and generates modified perception data based on the perception data and the simulated perception data. The modified perception data includes at least one of the one or more representations of physical objects and the one or more representations of virtual objects. The computing system further determines a path of travel for the vehicle based on the modified perception data, which includes the one or more representations of the virtual objects.

An aerosol delivery device is provided that includes sensor(s) to produce measurements of properties during use of the device, and processing circuitry to record data for a plurality of uses of the device, for each use of which the data includes the measurements of the properties. The processing circuitry is configured to build a machine learning model to predict a target variable, using a machine learning algorithm, at least one feature selected from the properties, and a training set produced from the measurements of the properties. The processing circuitry is configured to then deploy the machine learning model to predict the target variable, and control at least one functional element of the device based thereon. The device may also include a digital camera to capture an image of a face of an attempted user to enable facial recognition to alter a locked state of the device.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating cut-in probabilities of agents surrounding a vehicle. One of the methods includes obtaining agent trajectory data for one or more agents in an environment; obtaining vehicle trajectory data of a vehicle in the environment; and processing a network input generated from the agent trajectory data and vehicle trajectory data using a neural network to generate a cut-in output, wherein the cut-in output comprises respective cut-in probabilities for each of a plurality of locations in the environment, wherein the respective cut-in probability for each location that is a current location of one of the one or more agents characterizes a likelihood that the agent in the current location will intersect with a planned future location of the vehicle within a predetermined amount of time.

Systems and methods of the present disclosure may collect data associated with a user activity. The data may be transmitted from an app running on a computing device with a user account authenticated by the computer-based system. The system may calculate a carbon footprint of the user activity based on the data associated with the user activity. An amount of carbon credits may be assigned to a user account authenticated with the computer-based system based on the calculated carbon footprint of the user activity. A transaction may be written to a blockchain retiring the amount of carbon credits in response to a request to offset a carbon footprint.

Systems and methods of the present disclosure may collect data associated with a user activity. The data may be transmitted from an app running on a computing device with a user account authenticated by the computer-based system. The system may calculate a carbon footprint of the user activity based on the data associated with the user activity. An amount of carbon credits may be assigned to a user account authenticated with the computer-based system based on the calculated carbon footprint of the user activity. A transaction may be written to a blockchain retiring the amount of carbon credits in response to a request to offset a carbon footprint.

An information processing system includes an acquirer configured to acquire a boarding request, a deriver configured to derive, when an action schedule of an automatic driving vehicle includes a standby state based on a boarding request acquired by the acquirer, a usage charge of the automatic driving vehicle reflecting a cost generated in a traveling state in which the automatic driving vehicle carries a user and travels and a cost generated in the standby state, and an output configured to output information including the usage charge derived by the deriver.

A driving assistance system and a driving assistance method are provided. The driving assistance system includes a physiological information sensing system, an external physical symptom detection system, and a processing device. The physiological information sensing system is configured to sense physiological information of a driver. The external physical symptom detection system is configured to detect an external physical symptom of the driver. The processing device is coupled to the physiological information sensing system and the external physical symptom detection system. When the physiological information of the driver and the external physical symptom of the driver are abnormal, the processing device initiates an emergency procedure.

This invention relates to a system of lawn mowing and caring services. It comprises a lawn profile data information management system having lawn profile data stored therein; at least one mobile device for registered users, which communicates wirelessly with the lawn profile data information management system for requesting services; and at least one robotic lawn mower or lawn robot which works with the mobile device to acquire requisite lawn profile data from the lawn profile data information management system for the services before the robotic lawn mower or lawn robot can perform the requisite mowing or caring services on the specific piece of lawn.