A vehicle management system includes a processing circuit. The processing circuit is configured to acquire location information relating to a location of the vehicle, determine if the vehicle has arrived at a destination based on the location information, and provide a signal to switch at least one of a transmission of the vehicle or a braking subsystem of the vehicle from an operational condition to a locked condition in response to at least the vehicle arriving at the destination, thereby preventing undesired operation of the vehicle.

Provided are a server for maintenance, a remote monitoring system, and a remote monitoring method. The server is connected, via a network, to a plurality of working machines each including a working machine display device that displays machine state information and a working machine operating device to be used for predetermined operation, and to a monitoring terminal that includes a display part and remotely monitors information on the working machines. Communication between each of the plurality of working machines and the server is one-way communication from the working machines to the server. The server includes a first storage part, a second storage part, and a display processing part. The display processing part generates a display part simulated image, and causes the display part of the monitoring terminal to display a maintenance screen including the display part simulated image.

Techniques are described for correlating entity identification information with refuse containers being serviced by a refuse collection vehicle (RCV). Location data can be collected by location sensor(s) on the RCV at a time when a triggering condition is present, such as a time when a lift arm is operating to empty a refuse container into the hopper of the RCV. The location data can be provided as input to an algorithm that estimates a container location through a vector offset to account for the distance and direction of the RCV lift arm relative to the location sensor in the RCV. The container location can be correlated with parcel data to determine the parcel that the container was on or near to when it was serviced, and the customer or other entity associated with the parcel can be correlated to the particular container based on the analysis.

Systems and methods are provided for requirements engineering, and may include: receiving as input, time series data from at least one of a simulation of a vehicle run on a simulation system, or from the vehicle in operation; a requirements monitoring system checking to determine whether a plurality of requirements for operation of the vehicle are met, wherein the requirements are expressed in signal temporal logic form and a requirement includes at least an associated minimal sampling rate and a filtering policy applicable to the requirement; determining a quantitative conformance for each of selected requirements of the plurality of requirements; and add requirements to a verified requirements set based on the qualitative conformance of the requirements.

A device receives a vehicle inspection report submission including imaging information identifying a set of images of a vehicle from a user device, and identifies and obtains, from a data structure, a set of stored vehicle attributes relating to a previous condition of the vehicle. The device determines, based on the set of images and using computer vision processing, a set of identified vehicle attributes that relate to a present condition of the vehicle. The device selectively validates, based on the set of identified vehicle attributes and the set of stored vehicle attributes and based on location information identifying the user device within a threshold proximity of the vehicle when the set of images were captured, the vehicle inspection report submission. The device transmits information identifying a result of selectively validating the vehicle inspection report submission, selectively updates the vehicle attribute record, and selectively provides the updated vehicle attribute record.

A method and a device for providing an operating state of a sensor of a vehicle. The method includes detecting first environment data values using the sensor, the first environment data values representing an environment of the vehicle, receiving second environment data values, which represent the environment of the vehicle, the second environment data values being detected by an infrastructure sensor system, determining the operating state of the sensor as a function of the first and the second environment data values, and providing the operating state of the sensor.

A system for recording event data of an autonomous vehicle is disclosed. The present disclosure suggests an EDR system operation scheme suitable for properly investigating the cause of a vehicle accident. Subsystems of an autonomous driving control system may determine whether an event satisfying a preconfigured condition has occurred, and send to an EDR system a trigger signal to trigger recording of data elements related to the event when the occurrence of the event is detected. The EDR system may record data elements that are useful to reconstruct a map of an external environment surrounding an autonomous vehicle at the time of the occurrence of the event or to reconstruct an internal environment of the vehicle.

A communication device includes: a plurality of wireless communication units configured to perform wireless communication with another communication device; and a control unit configured to identify position information indicating a position at which the other communication device is located on the basis of at least three distance measurement results indicating a distance between each of at least three wireless communication units and the other communication device obtained in accordance with a result of wireless communication performed by each of the at least three wireless communication units among the plurality of wireless communication units.

A method of controlling an autonomous vehicle and an electronic device are provided, which relate to a field of artificial intelligence technology, and in particular to a field of autonomous driving technology. The method includes: acquiring a vehicle state configuration information from a cloud; enabling a task receiving function of the vehicle, in response to the vehicle state configuration information indicating that the vehicle is in an automatic operation state; acquiring a task information from the cloud in response to the task receiving function being enabled; and controlling the vehicle according to the task information.

In at least one example embodiment, a computer system includes a memory storing instructions and at least one processor configured to executed the instructions to cause the computer system to obtain sensor data, the sensor data corresponding to measurements of at least one component of an electric powertrain system of at least one vehicle and generate a first digital twin based on the obtained sensor data, the first generated twin associated with a type of the at least one vehicle.