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公开(公告)号：US10347122B2
公开(公告)日：2019-07-09
申请号：US15646879
申请日：2017-07-11
Applicant: DENSO CORPORATION
Inventor： Kazuhito Takenaka , Kenji Muto , Masumi Egawa , Seiichi Furuta
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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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：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：US11061911B2
公开(公告)日：2021-07-13
申请号：US16158865
申请日：2018-10-12
Applicant: DENSO CORPORATION , The Ritsumeikan Trust
Inventor： Hideaki Misawa , Kazuhito Takenaka , Tadahiro Taniguchi
IPC: B60W50/06 , G06F16/2457 , B60W40/09 , H03M7/30
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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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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Patent Agency Ranking
6.发明授权Driving context generation system for generating driving behavior description information 有权用于产生驾驶行为描述信息的驾驶上下文生成系统公开(公告)号：US09527384B2
公开(公告)日：2016-12-27
申请号：US14731766
申请日：2015-06-05
Applicant: DENSO CORPORATION , The Ritsumeikan Trust
Inventor： Takashi Bando , Kazuhito Takenaka , Tadahiro Taniguchi
CPC classification number: B60K28/066 , B60W40/09 , G08G1/0104
Abstract: In a system, a behavior description generator extracts a feature portion from at least one of segmented behavior-data sequences corresponding to at least one target driving situation included in sequential driving situations, and generates behavior-description information indicative of a description of a driver's behavior associated with the at least one target driving situation. An event description generator sequentially detects traffic events in at least one environmental data sequence indicative of time-series driving environments of a vehicle. The event description generator generates event-description information including a description indicative of each of the detected traffic events. A context description generator extracts, from the sequentially detected traffic events, one target traffic event that is detected immediately adjacent to the feature portion. The context description generator generates context information indicative of a context between behavior-description information and the event-description information about the target traffic event.
Abstract translation: 在系统中，行为描述生成器从对应于包括在顺序驾驶状况中的至少一个目标驾驶状况的分段行为数据序列中的至少一个提取特征部分，并且生成表示驾驶员行为描述的行为描述信息 与至少一个目标驾驶状况相关联。 事件描述生成器顺序地检测指示车辆的时间序列驾驶环境的至少一个环境数据序列中的交通事件。 事件描述生成器生成包括指示每个检测到的交通事件的描述的事件描述信息。 上下文描述生成器从顺序检测到的交通事件中提取与特征部分紧邻地检测到的一个目标交通事件。 上下文描述生成器生成指示行为描述信息与关于目标交通事件的事件描述信息之间的上下文的上下文信息。
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公开(公告)号：US11423772B2
公开(公告)日：2022-08-23
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：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：US10300922B2
公开(公告)日：2019-05-28
申请号：US15720775
申请日：2017-09-29
Applicant: Denso International America, Inc. , DENSO CORPORATION
Inventor： Haris Volos , Kenji Konishi , Kazuhito Takenaka , Yuki Shinohara , Hideaki Misawa
Abstract: A risk assessment system is provided and includes a behavior description generator, driving behavior comparator, and risk assessment modules and a transceiver. The behavior description generator module receives a set of driving features and topics corresponding to a driving behavior of a first driver in a location and under a set of driving conditions. The driving behavior comparator module: compares the set of driving features and the topics to other sets of features and topics, which correspond to driving behaviors of other drivers for the location and same or similar driving conditions as the set of driving conditions; and generates an anomaly score for the first driver based on results of the comparison. The risk assessment module calculates a risk assessment score for the driver based on the anomaly score, where the risk assessment score is indicative of a risk level of the first driver relative to the other drivers.
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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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