# US 11,308,357 B2 · Training data generation apparatus > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,308,357 B2 - Document ID: US11308357B2 - Status: Granted - Kind: B2 - Application number: 16/895,217 - Filed: 2020-06-08 - Published: 2020-09-24 - Granted: 2022-04-19 - Earliest claimed: 2017-12-11 - Assignees: Honda Motor Co., Ltd. - Applicants: Honda Motor Co., Ltd. - Inventors: Shun Iwasaki - Web page: https://patentgrep.com/patent/US11308357B2 ## CPC - G06N 20/00: Machine learning - G06F 18/214: Generating training patterns; Bootstrap methods, e.g. bagging or boosting - G06V 10/774: Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting - G06V 20/56: exterior to a vehicle by using sensors mounted on the vehicle - G06V 20/58: Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads - G08G 1/16: Anti-collision systems (road vehicle drive control systems for predicting or avoiding probable or impending collision otherwise than by control of a particular sub-unit B60W30/08) - 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 A data generation apparatus for automated travel, the data generation apparatus being a data collection apparatus characterized by comprising: obtaining means for obtaining external environment information; and labeling means for adding, to focus information included in the external environment information obtained by the obtaining means, a label corresponding to passing of a vehicle through a position at which the external environment information has been collected. ## Claims ### Claim 1 A data generation apparatus for automated travel, the data generation apparatus being a data collection apparatus comprising: at least one processor; and at least one memory that stores at least one program, wherein the at least one program causes the at least one processor, when executed by the at least one processor, to perform operations comprising: obtaining external environment information that has been detected by a detecting unit installed in the vehicle; and adding, to focus information included in the external environment information obtained in the obtaining, a label corresponding to passing of a vehicle through a position at which the external environment information has been collected, wherein in the adding, a position through which the vehicle has passed is specified based on the external environment information that has been obtained at a position that is reached after travelling by a predetermined distance from a position at which the focus information has been obtained, and a passable label is added to a position corresponding to the position through which the vehicle has passed in the focus information. ### Claim 2 (depends on 1) The data generation apparatus according to claim 1, wherein the external environment information includes image information that is based on frames shot by a camera, and the labeling unit adds the label using the frames as the focus information. ### Claim 3 (depends on 2) The data generation apparatus according to claim 2, wherein the predetermined distance is a distance corresponding to a preset frame interval. ### Claim 4 (depends on 2) The data generation apparatus according to claim 2, wherein a label is added at an interval of a predetermined number of frames. ### Claim 5 (depends on 1) The data generation apparatus according to claim 1, wherein a region that has not been passed through in the focus information is detected not to be passable, and a non-passable label is added to the focus information. ### Claim 6 (depends on 1) The data generation apparatus according to claim 1, wherein the operations further comprise: generating training data by further adding an annotation, in accordance with an operation of an operator, to the external environment information to which the label has been added. ### Claim 7 (depends on 6) The data generation apparatus according to claim 6, wherein the operations further comprise: generating an automated driving model by performing machine learning using the training data. ### Claim 8 (depends on 1) The data generation apparatus according to claim 1, wherein the operations further comprises: referring to a reference frame that has been shot after a focus frame to specify a region where the vehicle is passing through in the reference frame, wherein the region is located at a central portion of a lower edge of the reference frames and corresponds to a vehicle size in the reference frame, mapping the region in the reference frame to the focus frame, and adding the passable label to the mapped region in the focus frame.