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公开(公告)号：US20230401870A1
公开(公告)日：2023-12-14
申请号：US18455489
申请日：2023-08-24
Applicant: DENSO CORPORATION
Inventor： Hideaki MISAWA
CPC classification number: G06V20/54 , G06V10/70 , B60W50/14 , B60W60/001 , B60W2050/146 , B60W2540/215 , B60W2556/10 , B60W2556/20 , B60W2556/45
Abstract: An autonomous driving system includes a recognition unit configured to recognize an obstacle based on image data obtained by imaging a predetermined region including a road on which an autonomous vehicle travels, the imaging being performed by an imaging device installed at a specific location in the external environment of the autonomous vehicle, a feature quantity distribution creation unit configured to create a feature quantity distribution expressing a distribution of features related to obstacles recognized in the past, and an erroneous recognition judgement unit configured to compare the created feature quantity distribution with a feature quantity of an obstacle recognized as an evaluation subject, to thereby judge whether the obstacle recognized as the evaluation subject is erroneously recognized.
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公开(公告)号：US20230406357A1
公开(公告)日：2023-12-21
申请号：US18459981
申请日：2023-09-01
Applicant: DENSO CORPORATION
Inventor： Hideaki MISAWA
CPC classification number: B60W60/00186 , B60W50/0205 , B60W50/14 , B60W2050/146
Abstract: In an autonomous driving control device, a collection unit collects from an autonomous driving vehicle, driving data including own-state quantities representing a state of the autonomous driving vehicle. A determination unit compares a driving trajectory under evaluation for the autonomous driving vehicle with a reference driving trajectory acquired from a driving trajectory model representing specific values of the own-state quantities in a time series, and determines an abnormality level indicating a degree of deviation between the driving trajectory under evaluation and the reference driving trajectory. Upon the determination unit determining that the abnormality level indicates presence of an abnormality, a presentation unit presents to an operator the image data, based on which the abnormality level was determined to indicate the presence of an abnormality, and receive a confirmation of presence or absence of an abnormality and its factor as input from the operator. An output unit outputs report data.
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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：US20210004612A1
公开(公告)日：2021-01-07
申请号：US16917078
申请日：2020-06-30
Applicant: DENSO CORPORATION
Inventor： Hideaki MISAWA , Kenji MUTO
Abstract: A server device includes: a data collection unit that collects vehicle behavior data; a scene extraction unit that extracts, from the collected vehicle behavior data, driving scenes corresponding to the behavior of the vehicle and a scene feature amount of each of the driving scenes; an abnormality detection unit that calculates a degree of abnormality which represents an extent of deviation of the scene feature amount of each of the extracted driving scenes relative to a driving model, and detects a driving scene including a location of an abnormality using the calculated degree of abnormality; a section determination unit that extracts driving scenes satisfying a predetermined condition from among the detected driving scene and a plurality of driving scenes continuous to the driving scene, and determines, as an abnormal behavior section, a time range defined by the total continuation time of the extracted driving scenes; an image request unit that requests, from the vehicle, one or more captured images according to the determined abnormal behavior section; and a display control unit that performs control to display the images acquired from the vehicle according to the request.
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Patent Agency Ranking
5.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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7.发明申请公开(公告)号：US20190100216A1
公开(公告)日：2019-04-04
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：US20180023965A1
公开(公告)日：2018-01-25
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：US20170337812A1
公开(公告)日：2017-11-23
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
CPC classification number: G08G1/0133 , G06F16/29 , G08G1/0112 , G08G1/0141
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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