A control method and system to control a pair of electric motors driving a vehicle. The steps provided for are: determining, in a control cycle N and by means of a first processing core, for a first electric motor, a first electric current target based on a first torque or speed target; determining, in the control cycle N and by means of a second processing core, for a second electric motor, a second electric current target based on a second torque or speed target; controlling, in the control cycle N and by means of the first processing core, a first electronic power converter connected to the first electric motor so as to pursue the first electric current target; and controlling, in the control cycle N and by means of the second processing core, a second electronic power converter connected to the second electric motor so as to pursue the second electric current target.

A control method and system to control a pair of electric motors driving a vehicle. The steps provided for are: determining, in a control cycle N and by means of a first processing core, for a first electric motor, a first electric current target based on a first torque or speed target; determining, in the control cycle N and by means of a second processing core, for a second electric motor, a second electric current target based on a second torque or speed target; controlling, in the control cycle N and by means of the first processing core, a first electronic power converter connected to the first electric motor so as to pursue the first electric current target; and controlling, in the control cycle N and by means of the second processing core, a second electronic power converter connected to the second electric motor so as to pursue the second electric current target.

An automated valet parking system, an automated valet parking method, and an automated valet parking infrastructure, and a vehicle having an automated valet parking feature are disclosed. In particular, the vehicle can autonomously move to and park in a designated parking spot by communicating with the infrastructure. In addition, the vehicle can autonomously move to a pickup area from a parking spot by communicating with the infrastructure.

The present invention has been made in view of the above problems, and an object of the present invention is to, when an abnormality is detected in an electronic control apparatus that controls a plurality of functions, continue an operation without affecting the other function and secure safety of a control target device corresponding to the function in which the abnormality is detected. In the vehicle mounted electronic control apparatus according to the present invention, each of a first computing portion and a second computing portion outputs an operation check signal, and a driver control unit sets a driver corresponding to the computing portion in which an abnormality is indicated by the operation check signal among the first computing portion and the second computing portion, to a degenerated state.

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.

Methods and systems are disclosed for cross-validating a second sensor with a first sensor. Cross-validating the second sensor may include obtaining sensor readings from the first sensor and comparing the sensor readings from the first sensor with sensor readings obtained from the second sensor. In particular, the comparison of the sensor readings may include comparing state information about a vehicle detected by the first sensor and the second sensor. In addition, comparing the sensor readings may include obtaining a first image from the first sensor, obtaining a second image from the second sensor, and then comparing various characteristics of the images. One characteristic that may be compared are object labels applied to the vehicle detected by the first and second sensor. The first and second sensors may be different types of sensors.

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.

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.

A mobile object control method including: recognizing physical objects near a mobile object and a route shape; generating a target trajectory based on a result of the recognition and cause the mobile object to travel autonomously along the target trajectory; and determining that an abnormality has occurred in a control system for causing the mobile object to travel autonomously by performing the recognition when a time period from a timing when a degree of deviation between a reference target trajectory determined by the route shape and serving as a reference for generating the target trajectory and a position of the mobile object is greater than or equal to a predetermined degree to a timing when the degree of deviation is less than the predetermined degree is greater than or equal to a first predetermined time period and output a determination result.

Aspects of the disclosure relate to controlling a vehicle having an autonomous driving mode. This may include receiving, by one or more processors of the vehicle, first information identifying a current relative humidity measurement within a sensor housing of a vehicle having an autonomous driving mode. The relative humidity measurement and pre-stored environmental map information may be used by the one or more processors to estimate a condition of a sensor within the sensor housing at a future time. This estimated condition may be used by the one or more processors to control the vehicle.