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公开(公告)号：US20160140779A1
公开(公告)日：2016-05-19
申请号：US14940190
申请日：2015-11-13
Applicant: DENSO CORPORATION
Inventor： Kazuhito TAKENAKA , Takashi BANDO , Masumi EGAWA
IPC: G07C5/00
CPC classification number: G07C5/008 , G07C5/0816
Abstract: A drive data collection system includes an in-vehicle system and an information center. The in-vehicle system includes a data collector that repeatedly collects measurement values indicative of various indexes regarding a state of a subject vehicle, a model memory that memorizes model information regarding discretization rules that are shared by each of participating vehicles in the system, and a data discretizer that discretizes drive data, which includes time-series measurement values collected by the data collector, into multiple data parts according to the model information. The information center includes a data accumulator that accumulates the discretized drive data in a server. The in-vehicle system sends the discretized drive data to the information center through a communicator. Therefore, the drive data collection system efficiently collects the drive data in a versatilely-utilizable manner for the analysis of general driving practices/behaviors.
Abstract translation: 驱动数据收集系统包括车载系统和信息中心。 车载系统包括数据收集器，其重复地收集指示关于本车辆的状态的各种指标的测量值，存储关于系统中每个参与车辆共享的离散规则的模型信息的模型存储器，以及 数据离散化器，其将包括由数据收集器收集的时间序列测量值的驱动数据根据型号信息离散化成多个数据部分。 信息中心包括一个数据累加器，用于在服务器中累加离散的驱动数据。 车载系统通过通信器将离散的驱动数据发送到信息中心。 因此，驱动数据收集系统以通用的方式有效地收集驱动数据，以便分析一般驾驶习惯/行为。
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公开(公告)号：US20190193741A1
公开(公告)日：2019-06-27
申请号：US16227465
申请日：2018-12-20
Applicant: DENSO CORPORATION , NATIONAL UNIVERSITY CORPORATION NARA INSTITUTE OF SCIENCE AND TECHNOLOGY
Inventor： Kentaro HITOMI , Kazuhito TAKENAKA , Masataka MORI , Kazushi IKEDA , Takatomi KUBO , Hiroaki SASAKI
IPC: B60W40/06 , G06K9/00 , H04W4/46 , G08G1/0967
CPC classification number: B60W40/06 , G06K9/00791 , G08G1/096791 , H04W4/46
Abstract: In an apparatus for detecting an anomaly of an evaluation target condition of a road, a storage stores a reference data set correlating to a predetermined attribute and being comprised of reference data samples. An anomaly level calculator obtains, from target vehicles, an evaluation data set correlating to the predetermined attribute and being comprised of evaluation data samples. The evaluation data samples are collected from the respective target vehicles as target driving data items at the predetermined attribute under the evaluation target condition of the road. The target driving data item for each of the target vehicles represents at least one driving operation of the corresponding one of the target vehicles. The anomaly level calculator compares the reference data set with the evaluation data set to thereby calculate an anomaly level of the evaluation target condition of the road.
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公开(公告)号：US20140334719A1
公开(公告)日：2014-11-13
申请号：US14271543
申请日：2014-05-07
Applicant: DENSO CORPORATION
Inventor： Kazuhito TAKENAKA , Takashi BANDO , Hossein TEHRANI NIKNEJAD , Masumi EGAWA
CPC classification number: G06K9/00369 , G06K9/00805 , G06K9/629
Abstract: In an object identification device, each score calculator extracts a feature quantity from the image, and calculates a score using the extracted feature quantity and a model of the specified object. The score represents a reliability that the specified object is displayed in the image. A score-vector generator generates a score vector having the scores as elements thereof. A cluster determiner determines, based on previously determined clusters in which the score vector is classifiable, one of the clusters to which the score vector belongs as a target cluster. An object identifier identifies whether the specified object is displayed in the image based on one of the identification conditions. The one of the identification conditions is previously determined for the target cluster determined by the cluster determiner.
Abstract translation: 在对象识别装置中，每个乐谱计算器从图像中提取特征量，并使用所提取的特征量和指定对象的模型来计算得分。 分数表示指定对象在图像中显示的可靠性。 得分向量生成器生成具有得分作为其分数的分数向量。 集群确定器基于先前确定的分数向量可分类的集群来确定分数矢量所属于的集群之一作为目标集群。 对象标识符基于识别条件之一来识别指定对象是否显示在图像中。 先前确定由群集确定器确定的目标群集的识别条件之一。
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公开(公告)号：US20190197038A1
公开(公告)日：2019-06-27
申请号：US16227563
申请日：2018-12-20
Applicant: DENSO CORPORATION
Inventor： Masataka MORI , Kentaro HITOMI , Kazuhito TAKENAKA
IPC: G06F16/2458 , G06N7/00 , G06F16/28 , G06K9/62
CPC classification number: G06F16/2462 , G06F16/28 , G06K9/6215 , G06N7/005
Abstract: A computer calculates, in accordance with a maximum mean discrepancy, a similarity level between a first feature distribution correlating to a first distribution information item stored in a distribution database and a second feature distribution correlating to a second distribution information item stored in the distribution database. The second distribution information item is different from the first distribution information item. The maximum mean discrepancy is a distance measure indicative of the similarity level between the first and second feature distributions. The computer determines whether the calculated similarity level is equal to or higher than a predetermined threshold, and integrates the first feature distribution and the second feature distribution into a common feature distribution upon determining that the calculated similarity level is equal to or higher than the predetermined threshold.
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公开(公告)号：US20180158323A1
公开(公告)日：2018-06-07
申请号：US15646879
申请日：2017-07-11
Applicant: DENSO CORPORATION
Inventor： Kazuhito TAKENAKA , Kenji MUTO , Masumi EGAWA , Seiichi FURUTA
CPC classification number: G08G1/0112 , G06K9/00744 , G06K9/00771 , G06K9/00805 , G08G1/0129 , G08G1/0141 , G08G1/096716 , G08G1/096741 , G08G1/096775 , H04N5/77 , H04N7/183 , H04N9/8042
Abstract: In an anomaly detection apparatus mounted in a vehicle, a model storage stores a driving model which is set corresponding to a travel location of the vehicle traveling on a roadway and represents a normal driving state as the vehicle is traveling at the travel location. A data acquirer acquires driving performance data representing the driving state of the vehicle. A degree-of-anomaly calculator calculates a degree of anomaly in the driving state based on the driving model stored in the model storage and the driving performance data acquired by the data acquirer. A vehicle-mounted transmitter, if the degree of anomaly calculated by the degree-of-anomaly calculator exceeds an anomaly determination value for determining the presence of an anomaly in the driving state, transmits at least the degree of anomaly and the travel location corresponding to the degree of anomaly to a monitoring center located external to the vehicle and detects an anomaly in the road condition based on the degree of anomaly.
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Patent Agency Ranking
公开(公告)号：US20180018871A1
公开(公告)日：2018-01-18
申请号：US15646867
申请日：2017-07-11
Applicant: DENSO CORPORATION
Inventor： Kazuhito TAKENAKA , Masumi EGAWA , Utsushi SAKAI , Kentaro HITOMI , Yuki SHINOHARA , Hideaki MISAWA , Masataka MORI
IPC: G08G1/0962 , G07C5/02 , G08G1/01
CPC classification number: G08G1/0962 , G07C5/02 , G08G1/0112 , G08G1/0129 , G08G1/096716 , G08G1/096741 , G08G1/096775
Abstract: In a driving assist system, a driving evaluator compares a driving feature data item sampled at each predetermined sampling point and obtained from a target vehicle with historical driving data items for the corresponding sampling point. The driving evaluator obtains, based on a result of the comparison, an evaluation value of the driving feature data item for the target vehicle at each predetermined sampling point. An unusual driving determiner obtains a cumulative sum of selected values in the evaluation values of the driving feature data items for the target vehicle. The unusual driving determiner determines whether the cumulative sum is larger than a predetermined threshold, and determines that driving of a driver of the target vehicle is unusual upon determining that the cumulative sum is larger than the predetermined threshold.
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公开(公告)号：US20230020267A1
公开(公告)日：2023-01-19
申请号：US17934507
申请日：2022-09-22
Applicant: DENSO CORPORATION
Inventor： Shunsuke MOCHIZUKI , Kazuhito TAKENAKA , Midori KATO , Kenji MUTOU
IPC: G01C21/34
Abstract: A drive assistance apparatus predicts demand for vehicles in each area including a driving route, based on a demand prediction model for predicting the demand in the area. The drive assistance apparatus also predicts the frequency of occurrence of an obstacle in each of the regions obtained by dividing the area, based on a frequency model for predicting the frequency of occurrence of the obstacle in the region, and generates a driving route of the vehicle, based on the predicted demand in the area and the predicted frequency of occurrence of the obstacle.
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公开(公告)号：US20210284197A1
公开(公告)日：2021-09-16
申请号：US17194726
申请日：2021-03-08
Applicant: DENSO CORPORATION
Inventor： Masataka MORI , Kenji MUTO , Kazuhito TAKENAKA , Daisuke HIRANO , Suguru YAMAZAKI , Yoshinori TAKEUCHI , Shun SHIMIZU
Abstract: In an accident pattern determination apparatus including a storage storing attributes assigned to respective ones of a plurality of predefined traffic situations, an acquirer acquires, for each of vehicle-related accident cases, an accident pattern that is a combination of traffic situations in the accident case, from the plurality of predefined traffic situations. A determiner determines, for each accident pattern acquired by the acquirer, whether the accident pattern is an accident pattern of high accident risk or an accident pattern of low accident risk for specific vehicles, based on the accident patterns acquired for the respective accident cases and the attributes assigned to respective ones of the plurality of predefined traffic situations.
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9.发明申请公开(公告)号：US20200226920A1
公开(公告)日：2020-07-16
申请号：US16742107
申请日：2020-01-14
Applicant: DENSO CORPORATION
Inventor： Kazuhito TAKENAKA , Hideaki MISAWA , Daisuke HIRANO
IPC: G08G1/01
Abstract: A center device is used in a probe center that collects information from a plurality of vehicles, and functions as an anomaly detector detecting anomaly of travel environment caused on a road. The center device obtains drive data from a vehicle, and determines a probability of anomaly resolution regarding anomaly in a travel environment caused on the road, based on the obtained drive data. The center device, upon determining that anomaly may possibly be resolvable, obtains image data used for a situation determination of an abnormal area, and also obtains a determination result of anomaly resolution based on the image data.
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公开(公告)号：US20190114345A1
公开(公告)日：2019-04-18
申请号：US16158865
申请日：2018-10-12
Applicant: DENSO CORPORATION , The Ritsumeikan Trust
Inventor： Hideaki MISAWA , Kazuhito TAKENAKA , Tadahiro TANIGUCHI
Abstract: In a driving data analyzer, a data collector collects, from at least one vehicle, driving data sequences while each of the driving data sequences is correlated with identification data. Each driving data sequence includes sequential driving data items, and each driving data item represents at least one of a driver's operation of at least one vehicle and a behavior of the at least one vehicle based on the at least one of a driver's operation. The identification data represents a type of at least one external factor that contributes to variations in the driving data items. A feature extractor applies a data compression network model to the driving data sequences to thereby extract, from the driving data sequences, at least one latent feature independently from the type of the at least one external factor.
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