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1.发明公开公开(公告)号：US20230391366A1
公开(公告)日：2023-12-07
申请号：US17829664
申请日：2022-06-01
发明人： Zhaobo K. ZHENG , Kumar AKASH , Teruhisa MISU
CPC分类号： B60W60/0013 , B60W60/005 , B60W50/10 , B60W40/08 , B60W2540/229 , B60W2040/0872 , B60W2420/42 , B60W2540/221 , B60W2540/225 , G06V20/58
摘要： A system and method for detecting a perceived level of driver discomfort in an automated vehicle that include receiving image data associated with a driving scene of an ego vehicle, dynamic data associated with an operation of the ego vehicle, and driver data associated with a driver of the ego vehicle during autonomous operation of the ego vehicle. The system and method also include analyzing the image data, the dynamic data, and the driver data and extracting features associated with a plurality of modalities. The system and method additionally include analyzing the extracted features and detecting the perceived level of driver discomfort. The system and method further include analyzing the perceived level of driver discomfort and detecting a probable driver takeover intent of the driver of the ego vehicle to takeover manual operation of the ego vehicle.
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公开(公告)号：US20230326048A1
公开(公告)日：2023-10-12
申请号：US17703947
申请日：2022-03-24
发明人： Teruhisa MISU , Naoki HOSOMI , Kentaro YAMADA
CPC分类号： G06T7/50 , B60W60/00253 , G06V20/50 , G06V20/63 , G06V30/10 , B60W2554/802 , B60W2556/45
摘要： A system including an acquisition unit configured to acquire, from a user via a communication device associated with the user, target object data including a feature of a target object selected by the user, an analysis unit configured to analyze whether the target object data that has been acquired by the acquisition unit includes, as the feature, at least one of data of a proper noun or data of a character string related to the target object, and whether the target object data includes data of a color related to the target object, and an estimation unit configured to estimate a distance from the target object to the user, based on an analysis result of the analysis unit, wherein the estimation unit estimates the distance from the target object to the user such that the distance from the target object to the user in a case where the target object data includes at least one of the data of the proper noun or the data of the character string is shorter than the distance from the target object to the user in a case where the target object data includes the data of the color is provided.
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3.发明申请公开(公告)号：US20180050696A1
公开(公告)日：2018-02-22
申请号：US15238045
申请日：2016-08-16
发明人： Teruhisa MISU , Nanxiang LI , Ashish TAWARI
摘要： The systems and methods provided herein are directed to the uploading and transmission of vehicle data to a remote system when a physiological event for a driver has been detected using one or more sensors. Information such as the driver's heart rate, temperature, voice inflection or facial expression may be monitored to detect the physiological event. Vehicle data, such as gathering or control system data, may be sent once the event has been detected. Selected vehicle data associated with the event or all data during the time of the event may be sent. After receiving the vehicle data, the remote system may process or store it where it may be used to modify automated driving functionalities.
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公开(公告)号：US20240294180A1
公开(公告)日：2024-09-05
申请号：US18178183
申请日：2023-03-03
IPC分类号： B60W50/08
CPC分类号： B60W50/08 , B60W2050/0043 , B60W2050/0095 , B60W2530/13
摘要： Systems and methods for determining trust across mobility platforms are provided. In one embodiment, a method includes receiving first mobility data for a first automation experience of a user with a first mobility platform. The method also includes receiving a swap indication for a second automation experience of the user with a second mobility platform after the first automation experience. The method further includes selectively assigning the first mobility platform to a first mobility category and the second mobility platform to a second mobility category different than the first mobility category. The method yet further includes calculating an estimated trust score for the second automation experience by applying a trust model based on the first mobility category, the second mobility category, and a sequence of the first automation experience and the second automation experience. The method includes modifying operation of the second mobility platform based on the estimated trust score.
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公开(公告)号：US20220324490A1
公开(公告)日：2022-10-13
申请号：US17467159
申请日：2021-09-03
发明人： Kumar AKASH , Teruhisa MISU , Xingwei WU
摘要： A system and method for providing an RNN-based human trust model that include receiving a plurality of inputs related to an autonomous operation of a vehicle and a driving scene of the vehicle and analyzing the plurality of inputs to determine automation variables and scene variables. The system and method also include outputting a short-term trust recurrent neural network state that captures an effect of the driver's experience with respect to an instantaneous vehicle maneuver and a long-term trust recurrent neural network state that captures the effect of the driver's experience with respect to the autonomous operation of the vehicle during a traffic scenario. The system and method further include predicting a take-over intent of the driver to take over control of the vehicle from an automated operation of the vehicle during the traffic scenario.
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公开(公告)号：US20220204020A1
公开(公告)日：2022-06-30
申请号：US17139788
申请日：2020-12-31
发明人： Teruhisa MISU
摘要： In some examples, one or more characteristics of one or more driving scenes may be obtained. Based at least on the one or more characteristics, one or more behaviors of a simulated driver may be simulated via a machine learning model. An operation associated with one or more advanced driving assistance system (ADAS) functions may be performed based at least on the simulated one or more behaviors.
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公开(公告)号：US20210248399A1
公开(公告)日：2021-08-12
申请号：US16950820
申请日：2020-11-17
摘要： The present disclosure provides a method and system to operationalize driver eye movement data analysis based on moving objects of interest. Correlation and/or regression analyses between indirect (e.g., eye-tracking) and/or direct measures of driver awareness may identify variables that feature spatial and/or temporal aspects of driver eye glance behavior relative to objects of interest. The proposed systems and methods may be further combined with computer-vision techniques such as object recognition to (e.g., fully) automate eye movement data processing as well as machine learning approaches to improve the accuracy of driver awareness estimation.
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公开(公告)号：US20240190481A1
公开(公告)日：2024-06-13
申请号：US18077904
申请日：2022-12-08
发明人： Kumar AKASH , Teruhisa MISU , Zhaobo K. ZHENG
IPC分类号： B60W60/00
CPC分类号： B60W60/0054 , B60W60/001 , B60W2050/0075
摘要： According to one aspect, systems and techniques for adaptive trust calibration may include usage of a driving style predictor, including a memory and a processor. The memory may store one or more instructions and the processor may execute one or more of the instructions stored on the memory to perform one or more acts, actions, or steps, such as receiving a current automated vehicle (AV) driving style, receiving an indication of an event and an associated event type, receiving an indication of a driver takeover, concatenating the current AV driving style and one or more of the event type or the driver takeover to generate an input, and passing the input through a neural network, which may include a gated recurrent unit (GRU), to generate a preference change associated with the AV driving style.
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公开(公告)号：US20240043027A1
公开(公告)日：2024-02-08
申请号：US17883540
申请日：2022-08-08
发明人： Zhaobo K. ZHENG , Teruhisa MISU , Kumar AKASH
CPC分类号： B60W50/10 , G05B13/04 , G05B13/0265 , B60W2540/225 , B60W2540/221 , B60W2420/42 , B60W2050/0075
摘要： According to one aspect, an adaptive driving style system may include a set of two or more sensors, a memory, and a processor. The set of two or more sensors may receive two or more sensor signals. The memory may store one or more instructions. The processor may execute one or more of the instructions stored on the memory to perform one or more acts, actions, or steps, including training a trust model using two or more of the sensor signals as input, training a preference model using the trust model and two or more of the sensor signals as input, and generating a driving style preference based on an adaptive driving style model including the trust model and the preference model.
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公开(公告)号：US20230326348A1
公开(公告)日：2023-10-12
申请号：US17703577
申请日：2022-03-24
发明人： Teruhisa MISU , Kentaro YAMADA
CPC分类号： G08G1/202 , B60W60/00253 , G06Q30/0207 , G06Q50/30 , G06V20/56 , G10L15/22 , H04W4/40 , B60W2420/42 , B60W2540/041 , B60W2540/21 , B60W2556/45 , G10L2015/225 , G10L2015/228
摘要： A control system comprises a travel control unit configured to cause a moving body to travel to a designated place designated by a dispatch request, in response to the dispatch request from a user. Interactive communication is performed between the user and the moving body via a mobile terminal held by the user, before the moving body reaches the designated place. Image data in which surroundings of the designated place are captured by an imaging unit is acquired, after the moving body has reached the designated place as a result of the interactive communication. Information that has been transmitted from the user in the interactive communication is evaluated, based on the image data that has been acquired.
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