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1. 发明授权

US12012118B2 Generating training datasets for training machine learning based models for predicting behavior of traffic entities for navigating autonomous vehicles 有权
公开(公告)号：US12012118B2
公开(公告)日：2024-06-18
申请号：US17081202
申请日：2020-10-27
申请人： Perceptive Automata Inc.
发明人： Avery Wagner Faller
IPC分类号： G06V40/00 , B60W30/095 , B60W60/00 , G06F18/214 , G06N20/00 , G06V10/774 , G06V10/778 , G06V20/40 , G06V20/58 , G06V40/20
CPC分类号： B60W60/001 , B60W30/0956 , G06F18/214 , G06N20/00 , G06V10/774 , G06V10/7788 , G06V20/46 , G06V20/48 , G06V20/58 , G06V40/20 , B60W2420/403
摘要： A vehicle collects video data of an environment surrounding the vehicle including traffic entities, e.g., pedestrians, bicyclists, or other vehicles. The captured video data is sampled and the sampled video frames are presented to users to provide input on a traffic entity's state of mind. The system determines an attribute value that describes a statistical distribution of user responses for the traffic entity. If the attribute for a sampled video frame is within a threshold of the attribute of another video frame, the system interpolates attribute for a third video frame between the two sampled video frames. Otherwise, the system requests further user input for a video frame captured between the two sampled video frames. The interpolated and/or user based attributes are used to train a machine learning based model that predicts a hidden context of the traffic entity. The trained model is used for navigation of autonomous vehicles.

2. 发明申请

US20210354730A1 NAVIGATION OF AUTONOMOUS VEHICLES USING TURN AWARE MACHINE LEARNING BASED MODELS FOR PREDICTION OF BEHAVIOR OF A TRAFFIC ENTITY 有权
公开(公告)号：US20210354730A1
公开(公告)日：2021-11-18
申请号：US17321253
申请日：2021-05-14
申请人： Perceptive Automata, Inc.
发明人： Samuel English Anthony , Till S. Hartmann , Jacob Reinier Maat , Dylan James Rose , Kevin W. Sylvestre
IPC分类号： B60W60/00 , B60W40/04 , G06N3/08 , G06K9/00
摘要： An autonomous vehicle collects sensor data of an environment surrounding the autonomous vehicle including traffic entities such as pedestrians, bicyclists, or other vehicles. The sensor data is provided to a machine learning based model along with an expected turn direction of the autonomous vehicle to determine a hidden context attribute of a traffic entity given the expected turn direction of the autonomous vehicle. The hidden context attribute of the traffic entity represents factors that affect the behavior of the traffic entity, and the hidden context attribute is used to predict future behavior of the traffic entity. Instructions to control the autonomous vehicle are generated based on the hidden context attribute.

3. 发明申请

US20210182605A1 SYSTEM AND METHOD OF PREDICTING HUMAN INTERACTION WITH VEHICLES 有权
公开(公告)号：US20210182605A1
公开(公告)日：2021-06-17
申请号：US17190631
申请日：2021-03-03
申请人： Perceptive Automata, Inc.
发明人： Samuel English Anthony , Kshitij Misra , Avery Wagner Faller
IPC分类号： G06K9/62 , G06N3/08 , G06N3/04 , G06K9/00 , G08G1/16 , G08G1/04 , G05D1/00 , B60W30/00
摘要： Systems and methods for predicting user interaction with vehicles. A computing device receives an image and a video segment of a road scene, the first at least one of an image and a video segment being taken from a perspective of a participant in the road scene and then generates stimulus data based on the image and the video segment. Stimulus data is transmitted to a user interface and response data is received, which includes at least one of an action and a likelihood of the action corresponding to another participant in the road scene. The computing device aggregates a subset of the plurality of response data to form statistical data and a model is created based on the statistical data. The model is applied to another image or video segment and a prediction of user behavior in the another image or video segment is generated.

4. 发明授权

US10614344B2 System and method of predicting human interaction with vehicles 有权
公开(公告)号：US10614344B2
公开(公告)日：2020-04-07
申请号：US16512560
申请日：2019-07-16
申请人： Perceptive Automata, Inc.
发明人： Samuel English Anthony , Kshitij Misra , Avery Wagner Faller
IPC分类号： G06K9/00 , G06K9/62 , G06N3/08 , G06N3/04 , G08G1/16 , G08G1/04 , G05D1/00 , B60W30/00 , G06N5/00 , G06N20/10
CPC分类号： G06K9/6254 , B60W30/00 , G05D1/0088 , G06K9/00335 , G06K9/00718 , G06K9/00805 , G06K9/6256 , G06N3/04 , G06N3/08 , G06N3/084 , G08G1/04 , G08G1/166 , G05D2201/0213 , G06N5/003 , G06N20/10
摘要： A computing device receives an image and a video segment of a road scene, the first at least one of an image and a video segment being taken from a perspective of a participant in the road scene and then generates stimulus data based on the image and the video segment. Stimulus data is transmitted to a user interface and response data is received, which includes at least one of an action and a likelihood of the action corresponding to another participant in the road scene. The computing device aggregates a subset of the plurality of response data to form statistical data and a model is created based on the statistical data. The model is applied to another image or video segment and a prediction of user behavior in the another image or video segment is generated.

5. 发明授权

US3715568A System for gathering and transmitting source data 失效
公开(公告)号：US3715568A
公开(公告)日：1973-02-06
申请号：US3715568D
申请日：1970-11-16
申请人： AUTOMATA CORP
发明人： AZURE L
IPC分类号： G06F11/00 , G06F17/24 , G06K5/00
CPC分类号： G06F11/0751 , G06F17/243
摘要： A data gathering and transmitting system includes apparatus for reading data encoded on elongated strips, such as conventional fan-fold strips, and functions in an edit operation for error checking of the read data and compilation of plural such strips, and in a transmit operation for transmitting the data to a central processing station. The fan-fold strip is conformed to a computer memory print out for convenience of marking thereof as in a quantity ordering application. Plural separate fan-fold strips may be spliced together, the reader automatically affording the splicing operation in the edit operation. The reader also effects error checking, including detection of marks of questionable integrity on the fan-fold strip as to reliability of reading as well as to improper marking, either in the omission of required marks, or in the provision of marks not permitted in the encoding format employed, and automatically positions the strip to identify the position thereon at which the error is detected, for human scrutiny and correction. During edit, therefore, the data is compiled and any error automatically identified for scrutiny and correction by the human operator; in the transmit operation, therefore, reliable and accurate transmission is assured. In an order mode, a receiver at the central station responds to the content and format of the data as received from the transmitter to afford an effective doubling of the content of the transmitted data for a given bit rate of transmission. Herein, the sequence of receipt of data words from each strip identifies the word and the related position of the central computer memory to which each such word relates. A change in the format automatically causes the system to switch to a cash mode in which the system functions to transmit and receive digital words of the prescribed format in accordance with the page identification and other encoded identification thereof, as required.

6. 发明授权

US3284929A Test grading machine 失效
公开(公告)号：US3284929A
公开(公告)日：1966-11-15
申请号：US54071166
申请日：1966-04-06
申请人： AUTOMATA CORP
发明人： AZURE JR LEO L
IPC分类号： G06K17/00
CPC分类号： G06K17/0032

7. 发明授权

US1062870A Adding attachment for type-writers. 失效
标题翻译：添加类型写作的附件。
公开(公告)号：US1062870A
公开(公告)日：1913-05-27
申请号：US1899734618
申请日：1899-10-24
申请人： AUTOMATA COMPANY
发明人： WOLFE JACOB C , MORTON EDWIN W
CPC分类号： G06C23/02

8. 发明授权

US11981352B2 System and method of predicting human interaction with vehicles 有权
公开(公告)号：US11981352B2
公开(公告)日：2024-05-14
申请号：US17190631
申请日：2021-03-03
申请人： Perceptive Automata, Inc.
发明人： Samuel English Anthony , Kshitij Misra , Avery Wagner Faller
IPC分类号： G06N3/04 , B60W30/00 , B60W60/00 , G05D1/00 , G06F18/214 , G06F18/40 , G06N3/08 , G06N3/084 , G06V10/778 , G06V20/40 , G06V20/58 , G06V40/20 , G08G1/04 , G08G1/16 , G06N5/01 , G06N20/10
CPC分类号： B60W60/00274 , B60W30/00 , G05D1/0088 , G06F18/214 , G06F18/41 , G06N3/04 , G06N3/08 , G06N3/084 , G06V10/7784 , G06V20/41 , G06V20/58 , G06V40/20 , G08G1/04 , G08G1/166 , G05D2201/0213 , G06N5/01 , G06N20/10
摘要： Systems and methods for predicting user interaction with vehicles. A computing device receives an image and a video segment of a road scene, the first at least one of an image and a video segment being taken from a perspective of a participant in the road scene and then generates stimulus data based on the image and the video segment. Stimulus data is transmitted to a user interface and response data is received, which includes at least one of an action and a likelihood of the action corresponding to another participant in the road scene. The computing device aggregates a subset of the plurality of response data to form statistical data and a model is created based on the statistical data. The model is applied to another image or video segment and a prediction of user behavior in the another image or video segment is generated.

9. 发明公开

US20230347931A1 SCENARIO BASED MONITORING AND CONTROL OF AUTONOMOUS VEHICLES 审中-公开
公开(公告)号：US20230347931A1
公开(公告)日：2023-11-02
申请号：US18308626
申请日：2023-04-27
申请人： Perceptive Automata, Inc.
发明人： Jeffrey Donald Zaremba , Chuan Yen Ian Goh , Omar Al Assad , Till S. Hartman , Sonia Poltoraski , Samuel English Anthony
IPC分类号： B60W60/00 , G06V20/56 , B60W40/04
CPC分类号： B60W60/001 , G06V20/56 , B60W40/04 , B60W2420/42 , B60W2554/4041
摘要： A system evaluates modifications to components of an autonomous vehicle (AV) stack. The system receives driving recommendations traffic scenarios based on user annotations of video frames showing each traffic scenario. For each traffic scenario, the system predicts driving recommendations based on the AV stack. The system determines a measure of quality of driving recommendation by comparing predicted driving recommendations based on the AV stack with the driving recommendations received for the traffic scenario. The measure of quality of driving recommendation is used for evaluating components of the AV stack. The system determines a driving recommendation for an AV corresponding to ranges of SOMAI (state of mind) score and sends signals to controls of the autonomous vehicle to navigate the autonomous vehicle according to the driving recommendation. The system identifies additional training data for training machine learning model based on the measure of driving quality.

10. 发明授权

US11467579B2 Probabilistic neural network for predicting hidden context of traffic entities for autonomous vehicles 有权
公开(公告)号：US11467579B2
公开(公告)日：2022-10-11
申请号：US16783845
申请日：2020-02-06
申请人： Perceptive Automata, Inc.
发明人： Jacob Reinier Maat , Samuel English Anthony
IPC分类号： G05D1/00 , G06N7/00 , G06N3/08 , G05D1/02 , B60W60/00
摘要： An autonomous vehicle uses probabilistic neural networks to predict hidden context attributes associated with traffic entities. The hidden context represents behavior of the traffic entities in the traffic. The probabilistic neural network is configured to receive an image of traffic as input and generate output representing hidden context for a traffic entity displayed in the image. The system executes the probabilistic neural network to generate output representing hidden context for traffic entities encountered while navigating through traffic. The system determines a measure of uncertainty for the output values. The autonomous vehicle uses the measure of uncertainty generated by the probabilistic neural network during navigation.

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