Abstract: An information processing device generates a prediction output corresponding to input data. The information processing device includes input-node specification processor circuitry, based on the input data, configured to specify input nodes corresponding to the input data and each located on a corresponding one of layers from beginning to end of the learning tree structured, reliability-index acquisition processor circuitry configured to acquire a reliability index obtained through the predetermined learning processing and indicating prediction accuracy, output-node specification processor circuitry, based on the reliability index acquired by the reliability-index acquisition processor circuitry configured to specify, from the input nodes corresponding to the input data, an output node that is the basis of the generation of a prediction output, and prediction-output generation processor circuitry configured to generate a prediction output.

Abstract: This electric power steering device is provided with a function for: notifying a parking assistance device of a statically-steerable upper limit number obtained from an estimated motor current when static steering is performed in turnabout and a current limit value for the purpose of overheat protection of an electric power steering; and notifying the parking assistance device of whether the electric power steering can perform steering according to a target steering angle command, from a target steering angle and a target vehicle speed from the start of parking to the completion thereof, thus preventing interruption due to overheat of the electric power steering during parking assistance.

Abstract: Provided is an autonomous driving assistance system for vehicles that has redundancy without posing any problem in diversity. The autonomous driving assistance system includes: a sensor configured to acquire surroundings information; a downstream device including an actuator configured to control a vehicle; and a driving assistance device configured to calculate a control amount for the downstream device on the basis of the surroundings information. The downstream device further includes a diagnosis unit configured to: perform comparison between at least two control amounts that include the control amount calculated in the driving assistance device and a control amount calculated in the downstream device on the basis of the surroundings information; and determine, if the control amounts are equal to each other, that the control amounts are normal, and determine, if the control amounts are different from each other, that the control amounts are abnormal.

Abstract: Provided is an autonomous driving assistance system for vehicles that has redundancy without posing any problem in diversity. The autonomous driving assistance system includes: a sensor configured to acquire surroundings information; a downstream device including an actuator configured to control a vehicle; and a driving assistance device configured to calculate a control amount for the downstream device on the basis of the surroundings information. The downstream device further includes a diagnosis unit configured to: perform comparison between at least two control amounts that include the control amount calculated in the driving assistance device and a control amount calculated in the downstream device on the basis of the surroundings information; and determine, if the control amounts are equal to each other, that the control amounts are normal, and determine, if the control amounts are different from each other, that the control amounts are abnormal.

Abstract: There is provided an information processing device that generates a prediction output corresponding to input data, the information processing device, including: an input-node specification unit that, based on the input data, specifies input nodes corresponding to the input data and each located on a corresponding one of layers from beginning to end of the learning tree structure; a reliability-index acquisition unit that acquires a reliability index obtained through the predetermined learning processing and indicating prediction accuracy; an output-node specification unit that, based on the reliability index acquired by the reliability-index acquisition unit, specifies, from the input nodes corresponding to the input data, an output node that is the basis of the generation of a prediction output; and a prediction-output generation unit that generates a prediction output, based on the to-be-learned data included in the state space corresponding to the output node specified by the output-node specification unit