A method for operating an at least partially automated vehicle. The method includes: supplying surroundings data detected with the aid of sensors to at least three AI computing units which are independent of one another; generating data regarding at least one object from the surroundings data; carrying out a plausibility check of the pieces of data with respect to one another with the aid of majority voting; and using the data for which the plausibility check has been carried out for controlling, at least in a semi-automated manner, a lateral and/or longitudinal guidance of the at least partially automated vehicle.

Examples relating to vehicle velocity calculation using radar technology are described. An example method performed by a computing system may involve, while a vehicle is moving on a road, receiving, from two or more radar sensors mounted at different locations on the vehicle, radar data representative of an environment of the vehicle. The method may involve, based on the data, detecting at least one scatterer in the environment. The method may involve making a determination of a likelihood that the at least one scatterer is stationary with respect to the vehicle. The method may involve, based on the determination being that the likelihood is at least equal to a predefined confidence threshold, calculating a velocity of the vehicle based on the data from the sensors. The calculated velocity may include an angular and linear velocity. Further, the method may involve controlling the vehicle based on the calculated velocity.

A vehicle travel control device executes trajectory following control to make the vehicle follow a target trajectory. A delay time represents control delay of the trajectory following control. A delay compensation time is at least a part of the delay time. The trajectory following control includes: displacement estimation processing that estimates a displacement of the vehicle in the delay compensation time; and delay compensation processing that corrects a deviation between the vehicle and the target trajectory based on the estimated displacement to compensate the control delay. The displacement estimation processing is effective in an effective period and ineffective in an ineffective period. When the ineffective period is included in the delay time of the trajectory following control, the displacement estimation processing is executed in a temporary mode by using sensor-detected information in the effective period without using the sensor-detected information in the ineffective period.

A method includes receiving, from a sensing system of an autonomous vehicle (AV), image data including first image data and second image data. The method further includes determining, for a frame, whether an amount of image data matching between the first image data and the second image data satisfies a first threshold condition, in response to determining that the amount of image data matching satisfies a first threshold condition, identifying the frame as invalid, determining whether a number of consecutive frames determined to be invalid satisfies a second threshold condition, and in response to determining that the number of consecutive frames determined to be invalid satisfies the second threshold condition, generating a notification that the sensing system is outputting invalid data.

A vehicle driving assist apparatus has surrounding sensors which detect vehicle surrounding situations and driving assist systems which assist a driving operation of a driver, based on the vehicle surrounding situations. The vehicle driving assist apparatus determine whether the surrounding sensors malfunction. When the at least one electronic control unit determines that at least one of the surrounding sensors malfunctions, the vehicle driving assist apparatus determine operable driving assist systems and inoperable driving assist systems, and causes a display device to display both of a display indicating that at least one of the surrounding sensors malfunctions and a display indicating a list of the operable driving assist systems and the inoperable driving assist systems in a manner that the driver can realize which driving assist systems are operable and which driving assist systems are inoperable.

An information processing device measures a position of the moving object, acquires success or failure information relating to success or failure of the position measurement, acquires at least one of histories, determines to interrupt driving control of the moving object, and decides, if the driving control of the moving object is determined to be interrupted, a restart method. The histories include a history of the position of the moving object, a driving history of the moving object, a history of illuminance around the moving object, and a history of a direction of an imaging element mounted in the moving object. The driving control of the moving object is interrupted on the basis of the success or failure information. The restart method restarts the driving control of the moving object on the basis of at least one of the histories.

A vehicle control system includes a first actuator that is configured to perform at least any of driving, braking, or steering of a host vehicle, a first controller that is configured to perform traveling control of the host vehicle by controlling the first actuator, a second actuator that is configured to perform at least any of driving, braking, or steering of the host vehicle, a second controller that is configured to perform traveling control of the host vehicle by controlling the second actuator, and a communication line that is interposed between the first controller and the second controller. The first controller is configured to determine whether an operating state of the first actuator satisfies a predetermined condition, and limit, in a case where it is determined that the operating state of the first actuator satisfies the predetermined condition, control of the first actuator as compared to a case where it is determined that the predetermined condition is not satisfied, and transmits a predetermined signal to the second controller through the communication line, and in a case where the predetermined signal is received from the first controller through the communication line, the second controller performs traveling control of the host vehicle in place of at least a portion of a function of the first controller by controlling the second actuator.

An electronic control device including a sensor fusion processing unit that integrates a plurality of pieces of sensor information having been input from a plurality of sensors. The electronic control device further including a behavior prediction processing unit that obtains a future value in which a future behavior of a target object is predicted based on joint information integrated by the sensor fusion processing unit. The electronic control device further including a comparison unit that compares a future value predicted by the behavior prediction processing unit with output information of each sensor of the sensor fusion processing unit at a predicted time.

A sensor calibration system for a vehicle includes one or more processors. The system also includes a memory communicably coupled to the one or more processors and storing a sensor calibration module including instructions that when executed by the one or more processors cause the one or more processors to, for an environment sensor of the vehicle, determine if the sensor can detect at least a predetermined number of viable reference features in an environment of the vehicle. The module also includes processor-executable instructions to, if the sensor cannot not detect at least a predetermined number of viable reference features, determine at least one suggested positional arrangement of viable reference features with respect to a current position the sensor. The module also includes processor-executable instructions to generate instructions to arrange viable reference features in the at least one suggested positional arrangement.

An automatic parking lot management system includes an infrastructure sensor for detecting a preset range in a parking lot. A mobile body including a peripheral detection sensor is used, and the mobile body is able to be moved to a detectable position at which the peripheral detection sensor of the mobile body is able to detect a detection range of the infrastructure sensor. When determination is made that there is an abnormality in the infrastructure sensor, the mobile body is moved to the detectable position to cause the peripheral detection sensor to detect the detection range of the infrastructure sensor.