There is provided an information processing system capable of performing driving assistance according to different automated driving levels.

An information processing system according to an embodiment of the present disclosure includes one or more mobile devices capable of setting an automated driving level, and an external network device capable of communicating with the mobile devices. The external network device includes a communication device that communicates with the mobile device, an arithmetic model determination device that determines an arithmetic model corresponding to the automated driving level and provides the arithmetic model to the mobile device via the communication device, and a registration determination device that determines whether or not registration of the automated driving level is possible on the basis of information regarding possession of the arithmetic model, and gives a notification of registration permission to the mobile device via the communication device. The mobile device includes an arithmetic model request unit that requests the arithmetic model from the arithmetic model determination device, and causes the information to be transmitted to the registration determination device when the requested arithmetic model is provided, and a movement control unit that starts movement control based on the automated driving level permitted to be registered when the notification is received from the registration determination device.

There is provided an information processing system capable of performing driving assistance according to different automated driving levels.

An information processing system according to an embodiment of the present disclosure includes one or more mobile devices capable of setting an automated driving level, and an external network device capable of communicating with the mobile devices. The external network device includes a communication device that communicates with the mobile device, an arithmetic model determination device that determines an arithmetic model corresponding to the automated driving level and provides the arithmetic model to the mobile device via the communication device, and a registration determination device that determines whether or not registration of the automated driving level is possible on the basis of information regarding possession of the arithmetic model, and gives a notification of registration permission to the mobile device via the communication device. The mobile device includes an arithmetic model request unit that requests the arithmetic model from the arithmetic model determination device, and causes the information to be transmitted to the registration determination device when the requested arithmetic model is provided, and a movement control unit that starts movement control based on the automated driving level permitted to be registered when the notification is received from the registration determination device.

The disclosed technology provides solutions for validating operation of a sensor assembly by performing an assembly test. In some aspects, a process of performing the assembly test includes steps for collecting motor controller measurements, wherein the motor controller measurements include an amount of current supplied to a motor coupled when performing a sensor sweep, calculating an average current drawn by the motor based on the current measurements, and calculating a peak current drawn by the motor based on the current measurements. In some aspects, the process can further include steps for determining if the sensor assembly passes the sensor assembly test based on the average current drawn and the peak current drawn. Systems and machine-readable media are also provided.

The disclosed technology provides solutions for validating operation of a sensor assembly by performing an assembly test. In some aspects, a process of performing the assembly test includes steps for collecting motor controller measurements, wherein the motor controller measurements include an amount of current supplied to a motor coupled when performing a sensor sweep, calculating an average current drawn by the motor based on the current measurements, and calculating a peak current drawn by the motor based on the current measurements. In some aspects, the process can further include steps for determining if the sensor assembly passes the sensor assembly test based on the average current drawn and the peak current drawn. Systems and machine-readable media are also provided.

A wiring harness design for Hybrid electric vehicles (HEV) or Dual Power vehicles that uses a wiring harness that is operatively coupled to a cloud connected motor controller that detects mode of operation in two-wheelers and continuously transmit telemetry data to a cloud server.

A vehicle includes a storage device configured to store an estimation algorithm configured to output a degree of deterioration of a component mounted on the vehicle in response to an input of a value of a parameter related to the component, a sensor configured to detect the value of the parameter, and a control device. The control device is configured to execute a performance test by autonomous driving of the vehicle, acquire data indicating performance of the component during the performance test, and update the estimation algorithm by using the data acquired during the performance test.

Disclosed is a system for vehicle control. The system analyzes a state of each controller of multiple controllers inside a vehicle based on information collected from the controllers, learns the state of the each controller, based on a state analysis result obtained by analyzing the state of the each controller, and determines an abnormal state for at least one of the controllers, based on the state analysis result for the each controller and a learning result obtained by learning the state of the each controller. The system also includes a vehicle controller that manages vehicle control rights, based on the abnormal state for the at least one of the one or more controllers.

Disclosed is a system for vehicle control. The system analyzes a state of each controller of multiple controllers inside a vehicle based on information collected from the controllers, learns the state of the each controller, based on a state analysis result obtained by analyzing the state of the each controller, and determines an abnormal state for at least one of the controllers, based on the state analysis result for the each controller and a learning result obtained by learning the state of the each controller. The system also includes a vehicle controller that manages vehicle control rights, based on the abnormal state for the at least one of the one or more controllers.

Process for clearing an autonomous machine including first evaluating operation at a high curvature offline location. Following acceptable operation, the machine is placed into service and evaluated at a worksite. Following acceptable worksite operation, online operating speed of the machine is increased incrementally, and performance reevaluated. Following acceptable performance characteristics, online operating speed of the machine continues to be increased and revaluated until the machine reaches maximum designated operating speed, or is evaluated as unacceptable, in which case the machine continues to operate at the last acceptable online operating speed and identifies the unacceptable performance characteristic for further evaluation.

Process for clearing an autonomous machine including first evaluating operation at a high curvature offline location. Following acceptable operation, the machine is placed into service and evaluated at a worksite. Following acceptable worksite operation, online operating speed of the machine is increased incrementally, and performance reevaluated. Following acceptable performance characteristics, online operating speed of the machine continues to be increased and revaluated until the machine reaches maximum designated operating speed, or is evaluated as unacceptable, in which case the machine continues to operate at the last acceptable online operating speed and identifies the unacceptable performance characteristic for further evaluation.