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1. 发明授权

US11514530B2 Image processing system using convolutional neural networks 有权
公开(公告)号：US11514530B2
公开(公告)日：2022-11-29
申请号：US16874167
申请日：2020-05-14
申请人： CCC Information Services Inc.
发明人： Neda Hantehzadeh
IPC分类号： G06Q40/08 , G06N3/04 , G06K9/62 , G06N3/08 , G06V10/40 , G06V20/00
摘要： A method and system is described which attempts to address the technical problems involved in analyzing images using advanced computer systems and making decisions about the future of a damaged automobile based on the images.

2. 发明授权

US10380696B1 Image processing system for vehicle damage 有权
公开(公告)号：US10380696B1
公开(公告)日：2019-08-13
申请号：US15079356
申请日：2016-03-24
申请人： CCC INFORMATION SERVICES INC.
发明人： John Laurence Haller, Jr. , Darrin A. Smith
IPC分类号： G06Q40/00 , G06Q40/08 , G06Q30/02 , G06K9/46 , G06K9/00 , G06K9/52
摘要： An image processing system automatically processes a plurality of images of a damaged vehicle and determines replacements parts that are needed to repair the vehicle therefrom. The system includes a network interface via which the images are received, an image extraction component that generates a set of image attributes from the received images, a parts identifier component that generates indications of the needed replacement parts based on the image attributes and an information identification model, and an output interface via which the generated indications are provided. Additionally, the system includes a data storage entity storing data from multiple historical vehicle insurance claims, and a model generation component that generates the information identification model based on the historical claim data. The information identification model includes independent variable(s) corresponding to a set of image attributes that are more strongly correlated to replacement parts than are other attributes of the historical claim data.

3. 发明申请

US20160178465A1 Analyzing A Collision With A Vehicle Having Unknown Damage 有权
标题翻译：分析与未知损害的车辆的碰撞
公开(公告)号：US20160178465A1
公开(公告)日：2016-06-23
申请号：US14580537
申请日：2014-12-23
申请人： CCC Information Services Inc.
发明人： Darrin A. Smith , Kenna Henn
IPC分类号： G01L5/00 , G06F17/18
CPC分类号： G01L5/0052 , G06F17/50 , G06F17/5009 , G06F17/5095 , G09B23/00
摘要： In an example, a system includes a Monte Carlo simulation module to calculate a collision force on a first vehicle based at least in part on first information, calculate a crush depth for a second vehicle (having unknown damage) based at least in part on the calculated collision force on the first vehicle and second information, calculate first total energy absorbed by the first vehicle based on the first information, calculate second total energy absorbed by the second vehicle based on the calculated crush depth and the second information; and calculate a first estimated impact severity for the first vehicle using the first total energy and a second estimated impact severity for the second vehicle using the second total energy.
摘要翻译：在一个示例中，系统包括蒙特卡洛模拟模块，用于至少部分地基于第一信息来计算第一车辆上的碰撞力，至少部分地根据第一信息计算第二车辆（具有未知损坏）的挤压深度计算第一车辆的碰撞力和第二信息，基于第一信息计算由第一车辆吸收的第一总能量，基于计算的挤压深度和第二信息计算第二车辆吸收的第二总能量; 并且使用所述第一总能量计算所述第一车辆的第一估计冲击严重性，以及使用所述第二总能量计算所述第二车辆的第二估计冲击严重性。

4. 发明申请

US20140229123A1 Methods and Apparatus for Using Black Box Data to Analyze Vehicular Accidents 有权
标题翻译：使用黑盒数据分析车辆事故的方法和装置
公开(公告)号：US20140229123A1
公开(公告)日：2014-08-14
申请号：US14096377
申请日：2013-12-04
申请人： CCC Information Services, Inc.
发明人： Darrin A. Smith , Scott Palmer
IPC分类号： G01L5/00
CPC分类号： G01L5/0052 , G07C5/002
摘要： Disclosed are methods and apparatus for using black box data to analyze vehicular accidents. The methods include obtaining information from an event data recorder associated with a vehicle and using the data obtained therefrom in determining and analyzing the vehicular accident. Attributes to be analyzed include impact severity, change in velocity, and other desired parameters. Further disclosed are methods to securely communicate the downloaded black box information to a secure location for later analysis and processing.
摘要翻译：公开了使用黑盒数据分析车辆事故的方法和装置。所述方法包括从与车辆相关联的事件数据记录器获取信息并且使用从其获得的数据来确定和分析车辆事故。要分析的属性包括影响严重性，速度变化和其他所需参数。进一步披露的是将下载的黑箱信息安全地传送到安全位置以用于稍后的分析和处理的方法。

5. 发明申请

US20210358105A1 IMAGE PROCESSING SYSTEM USING RECURRENT NEURAL NETWORKS 有权
公开(公告)号：US20210358105A1
公开(公告)日：2021-11-18
申请号：US16874175
申请日：2020-05-14
申请人： CCC Information Services Inc.
发明人： Neda Hantehzadeh
IPC分类号： G06T7/00 , G06N3/04 , G06N3/08 , G06T7/10 , G06K9/46 , G06K9/62
摘要： A method and system is described which attempts to address the technical problems involved in analyzing images using advanced computer systems and making decisions about the future of a damaged automobile based on the images.

6. 发明授权

US10949814B1 Intelligent vehicle repair estimation system 有权
公开(公告)号：US10949814B1
公开(公告)日：2021-03-16
申请号：US16407330
申请日：2019-05-09
申请人： CCC INFORMATION SERVICES INC.
发明人： Ronald Nelson , John L. Haller , Christoph Plenio , Ehsan Mohammady Ardehaly , Ranjini Vaidyanathan
IPC分类号： G06Q10/00 , G06N5/04 , G06T7/70 , G06Q40/08 , G06Q30/02 , G06T7/00
摘要： Intelligent vehicle repair estimating techniques include an image processing component that extracts image attributes from one or more images of a damaged vehicle, and utilizes the attributes to predict an initial set of parts that are globally-identified. Based on a jurisdiction associated with the damaged vehicle, the initial set of parts is transformed into a set of jurisdictionally-based repairs (e.g., parts, labor operations, time intervals, costs, etc.), which may be included in a draft vehicle repair estimate. An estimate refinement component iteratively modifies/refines the draft estimate using a machine-only loop nested within a larger human-machine loop, where system-generated modifications are incrementally incorporated into the draft within the smaller loop, and user-generated modifications are incrementally incorporated into the draft within the larger loop. User-facing draft estimates may be of a WYSIWYG format, and draft estimate contents and/or guidance annotations are updated, via the nested loops, in-line upon each individual/unitary user modification.

7. 发明授权

US10730526B2 Driver assist design analysis system 有权
公开(公告)号：US10730526B2
公开(公告)日：2020-08-04
申请号：US15649863
申请日：2017-07-14
申请人： CCC INFORMATION SERVICES INC.
发明人： Marc Fredman
IPC分类号： B60W40/09 , B60W50/00 , B60W50/04 , B60W50/10 , B60W50/08 , B60W30/08 , G08G1/16 , B60K28/02 , G06Q40/08 , B60W30/10 , B60W30/18 , G07C5/08
摘要： A driver assist design analysis system includes a processing system and a database that stores vehicle data, vehicle operational data, vehicle accident data, and environmental data related to the configuration and operation of a plurality of vehicles with driver assist systems or features. The driver assist design analysis system also includes one or more analysis engines that execute on the processing system to determine one or more driving anomalies (e.g., accidents or poor driving operation) based on the vehicle operational data, and that correlate or determine a statistical relationship between the driving anomalies and the operation of the driver assist systems or features. The driver assist design analysis system then determines an effectiveness of operation of one or more of the driver assist systems or features based on the statistical relationship to determine a potential design flaw in the driver assist systems or features, and the driver assist design analysis system notifies a user or receiver of the potential design flaw.

8. 发明申请

US20210358047A1 IMAGE PROCESSING SYSTEM 有权
公开(公告)号：US20210358047A1
公开(公告)日：2021-11-18
申请号：US16874154
申请日：2020-05-14
申请人： CCC Information Services Inc.
发明人： Neda Hantehzadeh
IPC分类号： G06Q40/08 , G06N3/04 , G07C5/00 , G06K9/46 , G06K9/62 , G06K9/00
摘要： A method and system is described which attempts to address the technical problems involved in analyzing images using advanced computer systems and making decisions about the future of a damaged automobile based on the images.

9. 发明授权

US10963719B1 Optimized vehicle license plate recognition 有权
公开(公告)号：US10963719B1
公开(公告)日：2021-03-30
申请号：US16291609
申请日：2019-03-04
申请人： CCC INFORMATION SERVICES INC.
发明人： Neda Hantehzadeh , Christoph Plenio , Nazanin Makkinejad , Ruxiao Bao
IPC分类号： G06K9/00 , G06K9/32 , G06K9/62 , G06N3/08 , G06N3/04
摘要： Techniques for optimizing vehicle license plate recognition in images and their decoding include training a set of convolutional neural networks (CNNs) by using images in which license plates are identified or labeled as a whole, rather than by license plate parts or key points, and rather than by the individual, segmented characters represented thereon. The trained CNNs may operate on target images of environments to localize images of license plates included therein and determine the issuing jurisdiction and/or ordered set of characters represented on detected license plates without utilizing character segmentation and/or per-character recognition techniques. As such, license plates depicted within target images are able to be detected and decoded with greater tolerances for lighting conditions, deformations or damages, occlusions, differing image resolutions, differing angles of capture, variations of other objects depicted within the images (such as dense or changing signage), etc.

10. 发明授权

US10922726B1 Intelligent vehicle repair estimation system 有权
公开(公告)号：US10922726B1
公开(公告)日：2021-02-16
申请号：US16407350
申请日：2019-05-09
申请人： CCC INFORMATION SERVICES INC.
发明人： Ronald Nelson , Sean Fitzgerald , Jesse Horski
IPC分类号： G06Q30/00 , G06Q30/02 , G06Q10/00 , G06Q40/08 , G06N5/04
摘要： Intelligent vehicle repair estimating techniques include an image processing component that extracts image attributes from one or more images of a damaged vehicle, and utilizes the attributes to predict an initial set of parts that are globally-identified. Based on a jurisdiction associated with the damaged vehicle, the initial set of parts is transformed into a set of jurisdictionally-based repairs (e.g., parts, labor operations, time intervals, costs, etc.), which may be included in a draft vehicle repair estimate. An estimate refinement component iteratively modifies/refines the draft estimate using a machine-only loop nested within a larger human-machine loop, where system-generated modifications are incrementally incorporated into the draft within the smaller loop, and user-generated modifications are incrementally incorporated into the draft within the larger loop. User-facing draft estimates may be of a WYSIWYG format, and draft estimate contents and/or guidance annotations are updated, via the nested loops, in-line upon each individual/unitary user modification.

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