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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
Applicant: Honda Motor Co., Ltd.
Inventor： Shashank Kumar MEHROTRA , Kumar AKASH , Zhaobo K. ZHENG , Teruhisa MISU
IPC: B60W50/08
CPC classification number: B60W50/08 , B60W2050/0043 , B60W2050/0095 , B60W2530/13
Abstract: 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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Patent Agency Ranking
2.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
Applicant: Honda Motor Co., Ltd.
Inventor： Zhaobo K. ZHENG , Kumar AKASH , Teruhisa MISU
CPC classification number: B60W60/0013 , B60W60/005 , B60W50/10 , B60W40/08 , B60W2540/229 , B60W2040/0872 , B60W2420/42 , B60W2540/221 , B60W2540/225 , G06V20/58
Abstract: 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：US20250108833A1
公开(公告)日：2025-04-03
申请号：US18479984
申请日：2023-10-03
Applicant: Honda Motor Co., Ltd.
Inventor： Minxue NIU , Zhaobo K. ZHENG , Kumar AKASH , Teruhisa MISU
Abstract: A method and system for modeling trust levels of drivers and modifying autonomous systems in real time in response to predicted trust levels. These modifications may be made by one or more systems, including an autonomous driving agent. An end-to-end attention network known as a Selective Windowing Attention Network (SWAN) learns directly from time-series data and assigns attention to critical areas.
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公开(公告)号：US20240328802A1
公开(公告)日：2024-10-03
申请号：US18194767
申请日：2023-04-03
Applicant: Honda Motor Co., Ltd.
Inventor： Teruhisa MISU , Shashank Kumar MEHROTRA , Zhaobo K. ZHENG , Kumar AKASH
CPC classification number: G01C21/3484 , B60W50/082 , B60W60/001 , G01C21/3438
Abstract: According to one aspect, a system for trust calibration may include a processor and a memory. 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, such as receiving a record of one or more interactions between a user and a first autonomous device, building a trust profile for the user based on one or more of the interactions between the user and the first autonomous device, and operating a target autonomous device based on the trust profile.
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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
Applicant: Honda Motor Co., Ltd.
Inventor： Kumar AKASH , Teruhisa MISU , Zhaobo K. ZHENG
IPC: B60W60/00
CPC classification number: B60W60/0054 , B60W60/001 , B60W2050/0075
Abstract: 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
Applicant: Honda Motor Co., Ltd.
Inventor： Zhaobo K. ZHENG , Teruhisa MISU , Kumar AKASH
CPC classification number: B60W50/10 , G05B13/04 , G05B13/0265 , B60W2540/225 , B60W2540/221 , B60W2420/42 , B60W2050/0075
Abstract: 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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