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1.发明授权公开(公告)号：US11587372B2
公开(公告)日：2023-02-21
申请号：US16885458
申请日：2020-05-28
Applicant: DENSO CORPORATION
Inventor： Masataka Mori , Kenji Muto
Abstract: In an abnormality detection method for detecting an abnormality in vehicle behaviors based on an abnormality degree indicating a degree of difference between first driving information representing a vehicle behavior undergoing abnormality detection and second driving information obtained when no abnormality is found in a travel environment, an abnormality threshold is estimated using an abnormality degree distribution generated from a set of preaccumulated abnormality degrees. The abnormality threshold is an abnormality degree allowing a probability of erroneous determination as to presence or absence of an abnormality to be a predefined probability. Further, in the abnormality detection method, it is detected whether an abnormality is found in the vehicle behavior by comparing the abnormality degree for the first driving information and the estimated abnormality threshold.
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公开(公告)号：US10415981B2
公开(公告)日：2019-09-17
申请号：US15658199
申请日：2017-07-24
Applicant: DENSO CORPORATION
Inventor： Hideaki Misawa , Masumi Egawa , Utsushi Sakai , Kentaro Hitomi , Yuki Shinohara , Kazuhito Takenaka , Masataka Mori
Abstract: An anomaly estimation apparatus includes a collection section that collects vehicle data, a feature amount calculation section that calculates a feature amount from the vehicle data and stores the feature amount and a place corresponding thereto, an anomaly determination section that determines whether an anomaly occurrence point is present based on the feature amount, an accumulation section that, if the anomaly occurrence point is present, uses the vehicle data at the anomaly occurrence point and an anomaly periphery point to generate estimation data, an information generation section that uses the estimation data to generate causality information representing causality between an anomaly caused at the anomaly occurrence point and an anomaly caused at the anomaly periphery point, and an estimation section that, if the anomaly occurrence point is present, uses the causality information to estimate transition of the anomaly from the anomaly occurrence point to the anomaly periphery point.
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公开(公告)号：US11113292B2
公开(公告)日：2021-09-07
申请号：US16227563
申请日：2018-12-20
Applicant: DENSO CORPORATION
Inventor： Masataka Mori , Kentaro Hitomi , Kazuhito Takenaka
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：US10152061B2
公开(公告)日：2018-12-11
申请号：US15284986
申请日：2016-10-04
Applicant: DENSO CORPORATION
Inventor： Takashi Bando , Masataka Mori , Kazuhito Takenaka
Abstract: A drive assist apparatus includes a data collection part that collects driving behavior data representing driving maneuvers and vehicle behaviors caused by the driving maneuvers for each drivers, a classification part that classifies the driving behavior data into a plurality of clusters each showing a tendency of driving behavior of the drivers by clustering the driving behavior data, a storage part that stores cluster information representing a driving behavior characteristic of each of the clusters, a subject data acquisition part that acquires, as subject data, the driving behavior data for a subject driver to be assisted, an estimation part that estimates, as a corresponding cluster, one of the clusters to which the subject driver is assumed to belong by comparing the subject data with the cluster information stored in the storage part, and an assist providing part that provides a drive assist depending on the estimated corresponding cluster.
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Patent Agency Ranking
公开(公告)号：US12221131B2
公开(公告)日：2025-02-11
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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公开(公告)号：US10380887B2
公开(公告)日：2019-08-13
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: G08G1/00 , G08G1/0962 , G07C5/02 , G08G1/01
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：US10522032B2
公开(公告)日：2019-12-31
申请号：US15589812
申请日：2017-05-08
Applicant: DENSO CORPORATION
Inventor： Masataka Mori , Hideaki Misawa , Kazuhito Takenaka , Yuki Shinohara , Kentaro Hitomi , Utsushi Sakai , Masumi Egawa , Kenji Muto
Abstract: In a driving-state data storage apparatus, a collector collects, from each of vehicles on a target travelling road, a value of data indicative of a driving state of the corresponding vehicle to correspondingly obtain driving-state data values for the target road. A data allocator divides, based on similarity among the driving-state data values, the target traveling road into a plurality of traveling segments, and extracts, from the driving-state data values, data values for each of the divided travelling segments. The data values extracted for each of the travelling segments are similar to each other. The data allocator allocates a distribution of the extracted data values for each of the divided travelling segments to the corresponding one of the divided travelling segments as a feature distribution. A storage unit stores the feature distribution allocated for each of the travelling segments.
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公开(公告)号：US20170103121A1
公开(公告)日：2017-04-13
申请号：US15285235
申请日：2016-10-04
Applicant: DENSO CORPORATION
Inventor： Masataka Mori , Kazuhito Takenaka , Takashi Bando
CPC classification number: G06F16/287 , A61B5/18 , A61B5/7264 , G06F16/2246 , G06F16/282 , G09B9/042 , G09B9/052
Abstract: A drive support apparatus includes a data collection part that collects driving behavior data of drivers, a classification part that performs clustering of the driving behavior data to form small clusters, an integration part that integrates, in accordance with contents of predetermined drive supports, the small clusters to thereby form support clusters each showing tendency of driving behavior of the drivers for each kind of the drive supports, an object data acquisition part that acquires, as object data, the driving behavior data regarding a support object driver to be supported, an estimation part that estimates, as a belonging cluster, one of the support clusters to which the support object driver belongs for each kind of the drive supports by comparing the object data with the support cluster information accumulated by the integration part.
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公开(公告)号：US20170102708A1
公开(公告)日：2017-04-13
申请号：US15284986
申请日：2016-10-04
Applicant: DENSO CORPORATION
Inventor： Takashi Bando , Masataka Mori , Kazuhito Takenaka
CPC classification number: G05D1/0221 , B60W40/00 , G05D1/0088 , G06N7/005 , G06N99/005
Abstract: A drive assist apparatus includes a data collection part that collects driving behavior data representing driving maneuvers and vehicle behaviors caused by the driving maneuvers for each drivers, a classification part that classifies the driving behavior data into a plurality of clusters each showing a tendency of driving behavior of the drivers by clustering the driving behavior data, a storage part that stores cluster information representing a driving behavior characteristic of each of the clusters, a subject data acquisition part that acquires, as subject data, the driving behavior data for a subject driver to be assisted, an estimation part that estimates, as a corresponding cluster, one of the clusters to which the subject driver is assumed to belong by comparing the subject data with the cluster information stored in the storage part, and an assist providing part that provides a drive assist depending on the estimated corresponding cluster.
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