# US 12,112,245 B2 · Information processing apparatus and information processing method > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,112,245 B2 - Document ID: US12112245B2 - Status: Granted - Kind: B2 - Application number: 17/254,213 - Filed: 2019-06-25 - Published: 2021-09-02 - Granted: 2024-10-08 - Earliest claimed: 2018-06-29 - Assignees: Sony Corporation - Applicants: Sony Corporation - Inventors: Takuya Narihira - Web page: https://patentgrep.com/patent/US12112245B2 ## CPC - G06N 20/00: Machine learning - G06F 18/214: Generating training patterns; Bootstrap methods, e.g. bagging or boosting - G06F 18/23: Clustering techniques - G06V 20/597: {Recognising the driver's state or behaviour, e.g. attention or drowsiness} - G06F 16/9035: Filtering based on additional data, e.g. user or group profiles - G06F 18/213: Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods - G06N 7/01: Probabilistic graphical models, e.g. probabilistic networks - G06V 20/588: {Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road} - G06V 20/59: inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions - G08G 1/01: Detecting movement of traffic to be counted or controlled (G08G1/07 - G08G1/14 take precedence) - G08G 1/13: the indicator being in the form of a map - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING - G08G: TRAFFIC CONTROL SYSTEMS (guiding railway traffic, ensuring the safety of railway traffic B61L; arrangement of road signs or traffic signals E01F9/00; radar or analogous systems, sonar systems, lidar systems specially adapted for traffic control G01S13/91, G01S15/88, G01S17/88; {radar or analogous systems, sonar systems, lidar systems specially adapted for anti-collision purposes G01S13/93, G01S15/93, G01S17/93}) ## Abstract According to the present disclosure, there is provided an information processing apparatus including: a parameter acquisition unit (102) that acquires parameters collected from a sensor; and a reference model acquisition unit (108) that generates or selects a reference model recommended depending on a situation on the basis of a model extracted on the basis of the parameters. With this configuration, the driver can obtain an expected value in consideration of various factors during driving, disturbance, or the like. ## Claims ### Claim 1 An information processing apparatus comprising: processing circuitry configured to: acquire collected parameters; and select a reference model recommended depending on a situation on a basis of a model extracted on a basis of the collected parameters, wherein the reference model is selected from a plurality of models, wherein the processing circuitry is configured to select the reference model on a basis of the plurality of models extracted on the basis of the collected parameters and a selection model for selecting the plurality of models, and wherein the selection model corresponds to a hidden element obtained at a time of learning. ### Claim 2 (depends on 1) The information processing apparatus according to claim 1, wherein the processing circuitry is configured to extract the plurality of models by performing clustering on the basis of the parameters. ### Claim 3 (depends on 2) The information processing apparatus according to claim 2, wherein the processing circuitry is configured to extract the plurality of models and to extract the selection model on the basis of the parameters. ### Claim 4 (depends on 3) The information processing apparatus according to claim 3, wherein the processing circuitry is configured to extract the model by performing learning of an action output with respect to the parameters, which is an input, on a basis of teacher data. ### Claim 5 (depends on 1) The information processing apparatus according to claim 1, wherein the processing circuitry is configured to acquire one of the reference models selected by a user from among the plurality of models. ### Claim 6 (depends on 2) The information processing apparatus according to claim 2, wherein the processing circuitry is further configured to predict expected behavior depending on the situation on a basis of the reference model. ### Claim 7 (depends on 6) The information processing apparatus according to claim 6, wherein the processing circuitry is further configured to perform processing for displaying a predicted behavior. ### Claim 8 (depends on 7) The information processing apparatus according to claim 7, wherein the processing circuitry is further configured to: compare an actual driving state and the predicted behavior; and perform processing for displaying a result of the comparison. ### Claim 9 An information processing method executed by processing circuitry, the method comprising: acquiring collected parameters; and selecting a reference model recommended depending on a situation on a basis of a model extracted on a basis of the collected parameters, wherein the reference model is selected from a plurality of models, wherein the reference model is selected on a basis of the plurality of models extracted on the basis of the collected parameters and a selection model for selecting the plurality of models, and wherein the selection model corresponds to a hidden element obtained at a time of learning.