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公开(公告)号：US20220141173A1
公开(公告)日：2022-05-05
申请号：US17084648
申请日：2020-10-30
摘要： A method and corresponding system for improving an interaction process in a social network for a user with at least one other person is provided. The method comprises a step of, in a training phase, acquiring sensor data on at least a user state and interaction data on a social interaction of a human person with the at least one other person. The acquired sensor data and the interaction data is then analyzed in order to generate classifier data from the acquired sensor data and the acquired interaction data. In a subsequent application phase, the method acquires current sensor data on at least the user state of the at least one other person, predicts an interaction score for the user based on the acquired current sensor data and the classifier data, and generates an interaction identifier for the user for an interaction with the at least one other person in the social network based on the predicted interaction score.
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公开(公告)号：US11670156B2
公开(公告)日：2023-06-06
申请号：US17084651
申请日：2020-10-30
CPC分类号： G08B21/24 , B25J9/0003 , B25J11/008 , B25J13/089
摘要： The present disclosure relates to a system for reminding a person to perform an activity. The system comprise a robot configured to carry out different behaviors, wherein the activity and its corresponding trigger condition are set by a user and the system selects, from the different behaviors, a first behavior assigned to the activity, senses the person, determines, based on the sensors information, whether or not the activity is performed by the person in accordance with the trigger condition. The robot carries out the selected behavior if the activity is not performed by the person in accordance with the trigger condition, wherein after or during the selected behavior is carried out, an activity of the person is determined based on the information derived from the sensors to select a second behavior from the different behaviors.
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公开(公告)号：US11784961B2
公开(公告)日：2023-10-10
申请号：US17084648
申请日：2020-10-30
IPC分类号： G06F15/16 , H04L51/52 , H04L67/50 , H04L51/046 , H04L67/306
CPC分类号： H04L51/52 , H04L51/046 , H04L67/306 , H04L67/535
摘要： A method and corresponding system for improving an interaction process in a social network for a user with at least one other person is provided. The method comprises a step of, in a training phase, acquiring sensor data on at least a user state and interaction data on a social interaction of a human person with the at least one other person. The acquired sensor data and the interaction data is then analyzed in order to generate classifier data from the acquired sensor data and the acquired interaction data. In a subsequent application phase, the method acquires current sensor data on at least the user state of the at least one other person, predicts an interaction score for the user based on the acquired current sensor data and the classifier data, and generates an interaction identifier for the user for an interaction with the at least one other person in the social network based on the predicted interaction score.
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公开(公告)号：US20220139200A1
公开(公告)日：2022-05-05
申请号：US17084651
申请日：2020-10-30
摘要： The present disclosure relates to a system for reminding a person to perform an activity. The system comprise a robot configured to carry out different behaviors, wherein the activity and its corresponding trigger condition are set by a user and the system selects, from the different behaviors, a first behavior assigned to the activity, senses the person, determines, based on the sensors information, whether or not the activity is performed by the person in accordance with the trigger condition. The robot carries out the selected behavior if the activity is not performed by the person in accordance with the trigger condition, wherein after or during the selected behavior is carried out, an activity of the person is determined based on the information derived from the sensors to select a second behavior from the different behaviors.
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公开(公告)号：US20220134544A1
公开(公告)日：2022-05-05
申请号：US17084646
申请日：2020-10-30
摘要： The present disclosure relates to a system for continuously sharing behavioral states of a creature. The system comprises a robot configured to carry out different behaviors, at least one sensing means for automatically sensing the creature, a determining means for continuously determining the state of the creature based on information derived from the at least one sensing means and a selecting means for selecting, from the different behaviors, a behavior that is assigned to the determined state, wherein the robot is configured to carry out the selected behavior.
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公开(公告)号：US09620008B2
公开(公告)日：2017-04-11
申请号：US14812357
申请日：2015-07-29
发明人： Jens Schmüdderich , Andreas Richter
IPC分类号： B60W40/04 , G08G1/01 , B60W30/095 , G06K9/00
CPC分类号： G08G1/0125 , B60W30/0956 , B60W30/10 , B60W30/18163 , B60W40/04 , B60W50/14 , B60W2050/143 , B60W2050/146 , B60W2550/10 , B60W2550/12 , B60W2550/20 , B60W2550/402 , B60W2550/404 , B60W2550/406 , B60W2550/408 , B60W2710/18 , B60W2720/10 , G06K9/00805
摘要： The invention regards a method for assisting a driver of a vehicle by computationally predicting a future movement behavior of a target vehicle. The method comprises steps of acquiring data describing a traffic environment of a host vehicle, computing a plurality of future movement behavior alternatives for a target vehicle, by predicting movement behavior of the target vehicle based on the data describing the traffic environment. The prediction step calculates a probability that the target object will execute a movement behavior and information relating to future behavior of the target vehicle is output. The method estimates a global scene context and adapts the predicted behavior based on the estimated global scene context. The adaptation of the behavior prediction is performed by at least one of adapting indicator values in situation models employed by a context-based prediction, by adapting a result of the context-based prediction and adapting the overall prediction result.
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公开(公告)号：US20150073662A1
公开(公告)日：2015-03-12
申请号：US14478423
申请日：2014-09-05
发明人： Jens Schmüdderich , Sven Rebhan , Marcus Kleinehagenbrock , Robert Kastner , Naoki Mori , Shunsuke Kusuhara , Hiroyuki Kamiya
CPC分类号： B62D6/00 , B60W10/184 , B60W10/20 , B60W30/0956 , B60W30/12 , B60W30/16 , B60W30/18163 , B60W40/04 , B60W2710/207 , B60W2720/10 , B60W2720/106
摘要： The invention relates to a driving assistant adapted for active control of a vehicle based on predictions of a behavior of a detected object. A method aspect of the invention comprises accepting a first prediction of a behavior associated with the detected object from a first prediction subsystem and a second prediction from a second prediction subsystem; determining a control signal based on a combination of the first prediction and the second prediction; and initiating active control of the vehicle based on the control signal.
摘要翻译： 本发明涉及一种适于基于对被检测物体的行为的预测来对车辆进行主动控制的驾驶辅助装置。 本发明的方法方面包括接受来自第一预测子系统的与检测对象相关联的行为的第一预测和来自第二预测子系统的第二预测; 基于第一预测和第二预测的组合来确定控制信号; 并基于控制信号启动车辆的主动控制。
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公开(公告)号：US10583831B2
公开(公告)日：2020-03-10
申请号：US14963843
申请日：2015-12-09
发明人： Jens Schmüdderich
IPC分类号： B60W30/08 , G08G1/16 , B60Q1/14 , B60Q1/46 , B60Q1/50 , B60W10/04 , B60W10/18 , B60W10/20 , B60W30/18
摘要： A method and a system for communicating a an ego-vehicle's determined behavior to a target object is for use in a driver assistance system of a vehicle. The method includes steps of acquiring data of a traffic scene preferably by sensor means configured to sense an environment of the vehicle, calculating a prediction result including a target object's behaviour based on the acquired sensor data, determining an action of the host vehicle based on the prediction result and generating an actuation signal for performing the determined action, and determining a communication information indicating the determined action. The communication information is output to a communication means for communication to the target object via at least one of a lighting means of the vehicle and a car-to-x communication means.
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9.发明授权公开(公告)号：US09889858B2
公开(公告)日：2018-02-13
申请号：US14520501
申请日：2014-10-22
发明人： Jens Schmüdderich
IPC分类号： B60W50/00 , B60W40/04 , G01S13/93 , G06K9/00 , G01S7/41 , G01S13/72 , B60W50/14 , B60W30/09 , B60W30/095 , B60W30/18 , G01S13/86
CPC分类号： B60W50/0097 , B60W30/09 , B60W30/0956 , B60W30/18163 , B60W40/04 , B60W50/14 , B60W2550/10 , B60W2550/20 , G01S7/411 , G01S13/726 , G01S13/867 , G01S13/931 , G01S2013/9357 , G01S2013/936 , G06K9/00805
摘要： The invention relates to a driving assistance system including a prediction subsystem in a vehicle. According to a method aspect of the invention, the method comprises the steps of accepting an environment representation; calculating a confidence estimate related to the environment representation based on applying plausibility rules on the environment representation, and providing the confidence estimate as input for an evaluation of a prediction based on the environment representation.
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公开(公告)号：US09878710B2
公开(公告)日：2018-01-30
申请号：US15145287
申请日：2016-05-03
发明人： Jens Schmüdderich , Sven Rebhan
IPC分类号： B60W30/095 , G06K9/00 , B60W30/14 , G06N5/02 , G06K9/32
CPC分类号： B60W30/0956 , B60W30/14 , B60W50/0097 , B60W2550/10 , B60W2550/30 , G06K9/00771 , G06K9/00805 , G06K9/3241 , G06N5/02
摘要： The invention regards a method for improving performance of a method for computationally predicting a future state of a target object, a driver assistance system and a vehicle with such driver assistance system. First data describing a traffic environment including a target object is acquired. On the basis of the acquired data at least one prediction step for estimating a future state of an object in the traffic environment is performed and a signal indicative of a prediction result describing an estimated future state of the target object and/or an ego vehicle is generated. An actual state of the target object and/or the ego vehicle is observed and quality of the prediction by comparing the observed actual state and the prediction result is estimated. Finally the prediction result and/or parameters of the prediction algorithm is adapted.
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