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    Situational understanding of unknown roadway conditions that are ahead for a connected vehicle
    31.
    发明授权
    Situational understanding of unknown roadway conditions that are ahead for a connected vehicle 有权

    公开(公告)号：US10395530B2

    公开(公告)日：2019-08-27

    申请号：US16028117

    申请日：2018-07-05

    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA

    Inventor： Rahul Parundekar ,  Kentaro Oguchi ,  Veera Ganesh Yalla ,  Preeti Jayagopi Pillai

    IPC: G08G1/0967 ,  H04L29/08 ,  G08G1/01 ,  H04W4/44 ,  H04W4/029

    Abstract: The disclosure includes implementations for executing one or more computations for a vehicle. Some implementations of a method for a vehicle may include identifying one or more computations as being un-executable by any processor-based computing device of the vehicle. The method may include generating a query including query data describing the one or more computations to be executed for the vehicle. The method may include providing the query to a network. The method may include receiving a response from the network. The response may include solution data describing a result of executing the one or more computations. The response may be provided to the network by a processor-based computing device included in a hierarchy of processor-based computing devices that have greater computational ability than any processor-based computing devices of the vehicle.

    Object detection and localized extremity guidance
    34.
    发明授权
    Object detection and localized extremity guidance 有权

    公开(公告)号：US09613505B2

    公开(公告)日：2017-04-04

    申请号：US14658138

    申请日：2015-03-13

    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA

    Inventor： Eric Martinson ,  Emrah Akin Sisbot ,  Joseph Djugash ,  Kentaro Oguchi ,  Yutaka Takaoka ,  Yusuke Nakano

    IPC: G08B6/00

    CPC classification number: G08B6/00

    Abstract: Technology for localized guidance of a body part of a user to specific objects within a physical environment using a vibration interface is described. An example system may include a vibration interface wearable on an extremity by a user. The vibration interface includes a plurality of motors. The system includes sensor(s) coupled to the vibrotactile system and a sensing system coupled to the sensor(s) and the vibration interface. The sensing system is configured to analyze a physical environment in which the user is located for a tangible object using the sensor(s), to generate a trajectory for navigating the extremity of the user to the tangible object based on a relative position of the extremity of the user bearing the vibration interface to a position of the tangible object within the physical environment, and to guide the extremity of the user along the trajectory by vibrating the vibration interface.

    Computationally Efficient Scene Classification
    36.
    发明申请
    Computationally Efficient Scene Classification 有权
    计算高效场景分类

    公开(公告)号：US20140355879A1

    公开(公告)日：2014-12-04

    申请号：US14171677

    申请日：2014-02-03

    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA

    Inventor： John Mark Agosta ,  Preeti Pillai ,  Kentaro Oguchi ,  Ganesh Yalla

    IPC: G06K9/46 ,  G06K9/00

    CPC classification number: G06K9/00791 ,  G06K9/00664 ,  G06K9/468 ,  G06T7/11 ,  G06T7/143 ,  G06T2207/30252

    Abstract: The disclosure describes novel technology for inferring scenes from images. In one example, the technology includes a system that can determine partition regions from one or more factors that are independent of the image data, for an image depicting a scene; receive image data including pixels forming the image; classify pixels of the image into one or more pixel types based on one or more pixel-level features; determine, for each partition region, a set of pixel characteristic data describing a portion of the image included in the partition region based on the one or more pixel types of pixels in the partition region; and classify a scene of the image based on the set of pixel characteristic data of each of the partition regions.

    Abstract translation: 本公开描述了用于从图像推断场景的新技术。 在一个示例中，该技术包括可以针对描绘场景的图像从一个或多个独立于图像数据的因素确定分区的系统; 接收包括形成图像的像素的图像数据; 基于一个或多个像素级特征将图像的像素分类为一个或多个像素类型; 对于每个分区区域，基于分区区域中的一个或多个像素像素类型，确定描述包含在分区区域中的图像的一部分的一组像素特征数据; 并且基于每个分区区域的像素特征数据的集合来对图像的场景进行分类。

    Mobility-oriented data replication in a vehicular micro cloud
    37.
    发明授权
    Mobility-oriented data replication in a vehicular micro cloud 有权

    公开(公告)号：US11297136B2

    公开(公告)日：2022-04-05

    申请号：US16200578

    申请日：2018-11-26

    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA

    Inventor： Takamasa Higuchi ,  Onur Altintas ,  Kentaro Oguchi

    IPC: H04L29/08 ,  H04W4/46 ,  H04W4/44 ,  H04L12/26 ,  H04L67/1095 ,  H04L43/08 ,  H04L67/12

    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.

    Storage service for mobile nodes in a roadway area
    38.
    发明授权
    Storage service for mobile nodes in a roadway area 有权

    公开(公告)号：US11089459B2

    公开(公告)日：2021-08-10

    申请号：US15358567

    申请日：2016-11-22

    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA

    Inventor： Lewis Tseng ,  Kentaro Oguchi

    IPC: H04W4/80 ,  H04L29/08 ,  H04W68/00 ,  H04W4/46 ,  H04W4/029 ,  H04W84/00

    Abstract: The disclosure includes embodiments for providing a storage service for mobile nodes in a roadway area. A method may include a vehicle communicatively coupled to a mobile node via a non-infrastructure network, wherein the vehicle and the mobile node are present in a roadway area which is partitioned into a plurality of roadway regions which are predetermined and known to the vehicle and the mobile node. The method may include transmitting, by the vehicle via the non-infrastructure network, a wireless message to the mobile node, wherein the wireless message includes content including one or more of an instance of spatial key data describing a particular roadway region of the roadway environment and an identifier of a value stored in a memory present in the particular roadway region described by the spatial data. The method may include receiving, by the mobile node via the non-infrastructure network, the wireless message.

    Detecting roadway objects in real-time images
    39.
    发明授权
    Detecting roadway objects in real-time images 有权

    公开(公告)号：US10970561B2

    公开(公告)日：2021-04-06

    申请号：US15883301

    申请日：2018-01-30

    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA

    Inventor： Preeti Jayagopi Pillai ,  Veeraganesh Yalla ,  Kentaro Oguchi ,  Hirokazu Nomoto

    IPC: G06K9/00 ,  G06K9/46 ,  G01C21/26 ,  G06T15/06 ,  G08G1/16 ,  G06F16/22

    Abstract: The disclosure includes a method that receives a real-time image of a road from a camera sensor communicatively coupled to an onboard computer of a vehicle. The method includes dividing the real-time image into superpixels. The method includes merging the superpixels to form superpixel regions. The method includes generating prior maps from a dataset of road scene images. The method includes drawing a set of bounding boxes where each bounding box surrounds one of the superpixel regions. The method includes comparing the bounding boxes in the set of bounding boxes to a road prior map to identify a road region in the real-time image. The method includes pruning bounding boxes from the set of bounding boxes to reduce the set to remaining bounding boxes. The method may include using a categorization module that identifies the presence of a road scene object in the remaining bounding boxes.

    Machine learning enhanced vehicle merging
    40.
    发明授权
    Machine learning enhanced vehicle merging 有权

    公开(公告)号：US10725475B2

    公开(公告)日：2020-07-28

    申请号：US15949067

    申请日：2018-04-09

    Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA

    Inventor： Hao Yang ,  Rui Guo ,  Kentaro Oguchi ,  Liu Liu

    IPC: G05D1/02 ,  G08G1/0965 ,  E06B9/08 ,  G01C21/32 ,  G01C21/36 ,  G06K9/00 ,  G06T7/70 ,  G08G1/16 ,  B62D15/02 ,  G06N20/00

    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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