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11.发明授权公开(公告)号：US09792821B1
公开(公告)日：2017-10-17
申请号：US15081756
申请日：2016-03-25
Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
Inventor： Veeraganesh Yalla , Rahul Ravi Parundekar , Preeti J. Pillai , Kentaro Oguchi
CPC classification number: G08G1/167 , G01C21/3415 , G01C21/3602 , G06K9/00671 , G06K9/00798 , G08G1/096716 , G08G1/09675 , G08G1/096791 , H04W84/005 , H04W84/18
Abstract: In an example embodiment, a computer-implemented method is disclosed that receives road scene data and vehicle operation data from one or more sensors associated with a first vehicle on a road segment; receives situation ontology data; automatically generates a semantic road scene description of the road segment using the road scene data, the vehicle operation data, and the situation ontology data; and transmits, via a communication network, the semantic road scene description to one or more other vehicles associated with the road segment. Automatically generating the semantic road scene description of the road segment can include determining lane-level activity information for each lane based on lane information and dynamic road object information and determining a lane-level spatial layout for each lane based on the lane information and the dynamic road object information.
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公开(公告)号：US20140180526A1
公开(公告)日：2014-06-26
申请号：US13724555
申请日：2012-12-21
Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
Inventor： Anup Shrikantrao Deshpande , Kentaro Oguchi
IPC: G05D1/02
CPC classification number: G05D1/0248 , Y10S901/01
Abstract: A system and method for navigating a mobile automated system through obstacles is disclosed. The system includes a communication module, an estimation module, a density module, a vector module, a navigating module and a command module. The communication module receives image sensor data from one or more sensors. The estimation module estimates one or more obstacle parameters. The density module determines a left obstacle image density and a right obstacle image density for a path from a start point to a navigating destination based on the one or more obstacle parameters. The vector module generates a vector model to determine a navigating direction based on the left obstacle image density and the right obstacle image density. The navigating module determines a navigating velocity for navigating the mobile automated system to the navigating destination. The command module generates one or more navigating commands based on the navigating velocity.
Abstract translation: 公开了一种用于通过障碍物导航移动自动化系统的系统和方法。 该系统包括通信模块，估计模块，密度模块，矢量模块，导航模块和命令模块。 通信模块从一个或多个传感器接收图像传感器数据。 估计模块估计一个或多个障碍物参数。 密度模块基于一个或多个障碍物参数确定从起始点到导航目的地的路径的左侧障碍物图像密度和右侧障碍物图像密度。 矢量模块生成矢量模型，以基于左侧障碍物图像密度和右侧障碍物图像密度确定导航方向。 导航模块确定用于将移动自动化系统导航到导航目的地的导航速度。 命令模块基于导航速度生成一个或多个导航命令。
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公开(公告)号：US20240412631A1
公开(公告)日：2024-12-12
申请号：US18208850
申请日：2023-06-12
Applicant: Toyota Jidosha Kabushiki Kaisha , Toyota Motor Engineering & Manufacturing North America, Inc.
Inventor： Seyhan Ucar , Sachin Sharma , Yongkang Liu , Kentaro Oguchi
IPC: G08G1/0967
Abstract: The disclosure includes embodiments for decreasing false positive notifications of abnormal driving behavior to a driver of an ego vehicle. The method includes detecting, based one or more first sensor measurements recorded by a sensor set of an ego vehicle, a presence of an adverse driving condition caused by a remote vehicle. The method includes determining a first severity of the adverse driving condition based on the one or more first sensor measurements. The method includes determining a second severity of the adverse driving condition based at least in part on one or more second sensor measurements. The method includes providing, by the ego vehicle, a notification of the adverse driving condition caused by the remote vehicle responsive to the second severity increasing relative to the first severity so that an increasing severity trend is present wherein the notification is not provided if the increasing severity trend is not present.
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公开(公告)号：US11928959B2
公开(公告)日：2024-03-12
申请号：US16246334
申请日：2019-01-11
Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
Inventor： Takamasa Higuchi , Onur Altintas , Kentaro Oguchi
CPC classification number: G08G1/0141 , B60W40/04 , G06F16/29 , G08G1/0112 , H04W4/40 , B60W2554/00 , B60W2756/10
Abstract: The disclosure includes embodiments for forming an on-demand stationary vehicular micro cloud. In some embodiments, a method for a connected vehicle includes receiving event data that describes a set of events configured for triggering a creation of the on-demand stationary vehicular micro cloud. The method includes receiving sensor data that describes a roadway environment. The method includes detecting, based at least in part on the sensor data, an occurrence of at least one event included in the set of events. The method includes modifying an operation of a communication unit of the connected vehicle to initiate the creation of the on-demand stationary vehicular micro cloud to address the occurrence of the at least one event.
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公开(公告)号：US20220148420A1
公开(公告)日：2022-05-12
申请号：US17583027
申请日：2022-01-24
Applicant: Toyota Jidosha Kabushiki Kaisha
Inventor： Hao Yang , Kentaro Oguchi
Abstract: In an example, a method determines a first controllable vehicle traveling along a mitigation road segment of a roadway and determines a control lane in the mitigation road segment. The control lane includes the first controllable vehicle and is impedible by the first controllable vehicle. The method determines a first open lane in the mitigation road segment and applies a target mitigation speed to the first controllable vehicle in the control lane. The first open lane is adjacent to the control lane in the mitigation road segment and the target mitigation speed is based on a traffic state of the first open lane. The target mitigation speed adjusts a traffic stream that flows through the first open lane to mitigate traffic congestion located downstream of the mitigation road segment.
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Patent Agency Ranking
公开(公告)号：US11232705B2
公开(公告)日：2022-01-25
申请号：US16202095
申请日：2018-11-28
Applicant: Toyota Jidosha Kabushiki Kaisha
Inventor： Hao Yang , Kentaro Oguchi
Abstract: In an example, a method determines a first controllable vehicle traveling along a mitigation road segment of a roadway and determines a control lane in the mitigation road segment. The control lane includes the first controllable vehicle and is impedible by the first controllable vehicle. The method determines a first open lane in the mitigation road segment and applies a target mitigation speed to the first controllable vehicle in the control lane. The first open lane is adjacent to the control lane in the mitigation road segment and the target mitigation speed is based on a traffic state of the first open lane. The target mitigation speed adjusts a traffic stream that flows through the first open lane to mitigate traffic congestion located downstream of the mitigation road segment.
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公开(公告)号：US11106209B2
公开(公告)日：2021-08-31
申请号：US16273134
申请日：2019-02-11
Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
Inventor： Seyhan Ucar , Takamasa Higuchi , Baik Hoh , Onur Altintas , Kentaro Oguchi , Toru Nakanishi
IPC: G05D1/02 , H04W4/46 , H04W4/44 , G06F16/901 , G06F30/20
Abstract: The disclosure includes embodiments for generating improved anomaly maps. In some embodiments, a method for a connected vehicle includes detecting an occurrence of an anomaly in a roadway environment based on sensor data describing the roadway environment. The method includes creating, by the connected vehicle, an anomaly map that describes the anomaly. The method includes modifying an operation of a communication unit of the connected vehicle to receive one or more other anomaly maps describing the anomaly from one or more cooperation endpoints in the roadway environment. The method includes generating an updated anomaly map based on the anomaly map created by the connected vehicle and the one or more other anomaly maps created by the one or more cooperation endpoints so that an accuracy of the updated anomaly map is improved.
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18.发明授权公开(公告)号：US10963706B2
公开(公告)日：2021-03-30
申请号：US15870875
申请日：2018-01-13
Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
Inventor： Rui Guo , Kentaro Oguchi
Abstract: In an example embodiment, a computer-implemented method generates, using first machine learning logic, a first compact representation of a first object in a first image captured from a first perspective; generates, using second machine learning logic, a second compact representation of a second object in a second image captured from a second perspective; computes a similarity score reflecting a level of similarity between the first compact representation of the first object and the second compact representation of the second object; and identifies a subset of features of the first object and the second object as being more determinative than other features of the first object and the second object based on a comparison of the similarity score to a predetermined target output.
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公开(公告)号：US20200257303A1
公开(公告)日：2020-08-13
申请号：US16864171
申请日：2020-05-01
Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
Inventor： Hao Yang , Rui Guo , Kentaro Oguchi , Liu Liu
Abstract: A method receives a first image set depicting a merging zone, the first image set including first image(s) associated with a first timestamp; determines, using a trained first machine learning logic, a first state describing a traffic condition of the merging zone at the first timestamp using the first image set; determines, from a sequence of states describing the traffic condition of the merging zone at a sequence of timestamps, using a trained second machine learning logic, second state(s) associated with second timestamp(s) prior to the first timestamp of the first state using a trained backward time distance; computes, using a trained third machine learning logic, impact metric(s) for merging action(s) using the first state, the second state(s), and the merging action(s); selects, from the merging action(s), a first merging action based on the impact metric(s); and provides a merging instruction including the first merging action to a merging vehicle.
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公开(公告)号：US20200169605A1
公开(公告)日：2020-05-28
申请号：US16200578
申请日：2018-11-26
Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
Inventor： Takamasa Higuchi , Onur Altintas , Kentaro Oguchi
Abstract: A vehicular micro cloud includes a set of connected vehicles that are operable to provide computational services to the set of connected vehicles. The disclosure includes embodiments for mobility-oriented data replication in the vehicular micro cloud. In some embodiments, a method includes, for each data set stored by the set of connected vehicles, determining a number of replicas to generate based on one or more mobility-based criteria. The method includes generating instances of replica data that describe the replicas. The method includes, for individual instances of replica data, determining which of the connected vehicles included in the set to use as storage locations for the individual instances of replica data based on the one or more mobility-based criteria. The method includes causing the individual instances of replica data to be stored in the storage locations. For example, the individual instances of replica data are transmitted to the storage locations.
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