US20150006023A1 - System and method for determination of vheicle accident information - Google Patents
System and method for determination of vheicle accident information Download PDFInfo
- Publication number
- US20150006023A1 US20150006023A1 US14/317,624 US201414317624A US2015006023A1 US 20150006023 A1 US20150006023 A1 US 20150006023A1 US 201414317624 A US201414317624 A US 201414317624A US 2015006023 A1 US2015006023 A1 US 2015006023A1
- Authority
- US
- United States
- Prior art keywords
- accident
- vehicle
- information
- data collection
- review
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Abandoned
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0283—Price estimation or determination
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
- G07C5/085—Registering performance data using electronic data carriers
Definitions
- Embodiments of the invention are generally related to in-vehicle systems and methods to detect, analyze and transmit information about an accident.
- the system monitors onboard sensors input then compares that input with predetermined stored relationships to detect accidents and assess damage.
- Accident and a damage assessment can then be wirelessly transmitted (if feasible) to interested parties such as first responders and insurance carriers.
- a vehicle can be equipped with a portable device equipped with a data collection and assessment environment, including one or more data collection devices that can be used to capture data and information or otherwise measure characteristics of the vehicle, and communicate that information to an accident review framework or system.
- the information can be used, for example, by an investigator or an insurance claims adjuster, to review the status or operation of a vehicle at the time of the accident. Additional uses of the system include that emergency systems management in handling of accidents and injuries can also be improved.
- FIG. 1 illustrates a system for determination of vehicle accident information, in accordance with an embodiment.
- FIG. 2 further illustrates a system for determination of vehicle accident information, in accordance with an embodiment.
- FIG. 3 is a flowchart of a method for determination of vehicle accident information, in accordance with an embodiment.
- information about a vehicle, or its driver has a bearing on factors such as liability insurance, and accident investigation.
- factors such as liability insurance, and accident investigation.
- An investigator or adjuster may also be interested in the estimated cost to repair the vehicle, or the likelihood or severity of personal injury to occupants of the vehicle.
- a vehicle can be equipped with a portable device equipped with a data collection and assessment environment, including one or more data collection devices used to capture data and information or otherwise measure characteristics of the vehicle, and communicate that information to an accident review framework or system.
- the information can be used, for example, by an investigator or an insurance claims adjuster, to review the status or operation of a vehicle at the time of the accident, or to automatically summon emergency services, such as ambulance or police, taking into account the nature or severity of the accident.
- FIG. 1 illustrates a system for determination of vehicle accident information, in accordance with an embodiment.
- a driver 100 of a vehicle 101 can use an accident information collection/assessment system 103 , which can be provided all or in part as a portable device (e.g., a smartphone, a tablet computer, computer, or other portable device), and which is equipped with a data collection and assessment environment 104 .
- a portable device e.g., a smartphone, a tablet computer, computer, or other portable device
- the assessment system can itself include one or more data collection devices 106 (e.g., speedometers, accelerometers, GPS, gyroscopes, compass, or other measurement devices) that can be used to capture data and information, such as speed and heading, or otherwise measure vehicle actions, together with a data collection and assessment logic 108 .
- a pattern recognition module 118 is configured with one or more defined operating patterns, each of which operating patterns reflects either a known change in vehicle status, or a known vehicle operating or driving behavior. For example, a vehicle responds in a physically-measurable manner to driver-based driving actions, e.g., by the driver turning the vehicle sharply at a corner.
- An accelerometer can be similarly used to register the sudden deceleration or impact of a collision, and its direction. This enables the system to associate patterns with certain vehicle status or operations, or with historical records for a particular vehicle or for similar vehicles.
- an accident Information collection/assessment module 123 can be used to collect information about accidents, or compare current patterns of driving, patterns of previous collisions, or other information, with known patterns to assess a particular accident.
- a collision pattern might take into account the mass of a vehicle together with its direction and speed, an abrupt stop (indicative of a collision), plus the make, year, and condition of the vehicle.
- a driving pattern might take into account speed, swerving, acceleration, tracking of lane, etc of the vehicle.
- other types of patterns can be considered.
- the resultant information can be remotely communicated to an external accident review framework or system 130 , where the information can be used, for example, by an investigator or an insurance claims adjuster, to review the status or operation of a vehicle at the time of the accident.
- the information collected and/or generated by the accident review framework or system can be used to assess the severity and type of accident, and/or to classify the accident in terms of severity and vehicle type, to be able to make an assessment of damage to the vehicle.
- This provides an insurer with improved management of their claims process, and also helps to reduce insurance fraud. Additional uses of the system include that emergency systems management in handling of accidents and injuries can also be improved.
- the method of assessing damage provides utility both in the direct impact analysis, and also in the historical compilation of similar patterns' costs, based on the range and average for a particular car, at this speed and with these readings of, e.g., gyroscope and accelerometer.
- the system can incorporate or utilize additional functionality as further described in U.S. Patent Application titled “SYSTEM AND METHOD FOR USE OF PATTERN RECOGNITION IN ASSESSING OR MONITORING VEHICLE STATUS OR OPERATOR DRIVING BEHAVIOR”; application Ser. No. 13/679,722, filed Nov. 16, 2012, herein incorporated by reference.
- FIG. 2 further illustrates a system for determination of vehicle accident information, in accordance with an embodiment.
- the data collection and assessment environment including one or more data collection devices, is used to capture data and information or otherwise measure characteristics of the vehicle, and provide those to an external accident review framework or system.
- the external accident review framework or system can be used to collect or determine accident history and statistical data 140 (for example, vehicle make and model, device installation location, average cost of claim, images of damage, and/or a list of damaged components); perform an analysis of historical and statistical data 150 (for example, analysis of past claims, approximate g-force, estimated cost, and/or impact severity); and consolidate results or relation to live statistics 160 (for example, consolidation of reported accident data, reporting of g-force, averaging of claims history and estimated costs, estimation of trauma severity).
- the consolidated results or relation to live statistics can be provided to an investigator or an insurance claims adjuster, to assist in determining the status or operation of the vehicle at the time of the accident, and/or review any insurance claim by the Accident Review Framework 130 .
- FIG. 3 is a flowchart of a method for determination of vehicle accident information, in accordance with an embodiment.
- a vehicle is provided with a data collection and assessment environment and one or more data collection devices.
- the data collection and assessment environment remotely communicates vehicle data and information to an external accident review framework or system.
- accident history and statistical data is determined.
- historical and statistical data is analyzed.
- the system consolidates results, relation to live statistics, for use by an investigator or an insurance claims adjuster, to determine the status or operation of the vehicle at the time of the accident, and/or review any insurance claim.
- the present invention may be conveniently implemented using one or more conventional general purpose or specialized digital computers or microprocessors programmed according to the teachings of the present disclosure, or a portable device (e.g., a smartphone, tablet computer, computer or other device), equipped with a data collection and assessment environment, including one or more data collection devices (e.g., accelerometers, GPS) or where the portable device are connected to the data collection devices that are remote to the portable device, that are connected via wired or wireless means.
- data collection devices e.g., accelerometers, GPS
- Appropriate software coding can readily be prepared by skilled programmers based on the teachings of the present disclosure, as will be apparent to those skilled in the software art.
- the present invention includes a computer program product which is a non-transitory storage medium (media) having instructions stored thereon/in which can be used to program a computer to perform any of the processes of the present invention.
- the storage medium can include, but is not limited to, any type of disk including floppy disks, optical discs, DVD, CD-ROMs, microdrive, and magneto-optical disks, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAM5, flash memory devices, magnetic or optical cards, nanosystems (including molecular memory ICs), or any type of media or device suitable for storing instructions and/or data.
Abstract
Description
- This application claims the benefit of priority to both U.S. Provisional Application No. 61/840,383 titled “SYSTEM AND METHOD FOR DETERMINATION OF VEHICLE ACCIDENT INFORMATION” filed on 27 Jun. 2013 and U.S. Provisional Application No. 61/846,203 tilted SYSTEM AND METHOD FOR DETERMINATION OF VEHICLE ACCIDENT INFORMATION″ filed on 15 Jul. 2013 both of which are herein incorporated by reference. This application is related to U.S. Patent Application titled “SYSTEM AND METHOD FOR USE OF PATTERN RECOGNITION IN ASSESSING OR MONITORING VEHICLE STATUS OR OPERATOR DRIVING BEHAVIOR”, application Ser. No. 13/679,722, filed Nov. 16, 2012; which claims the benefit of priority to U.S. Provisional Patent Application No. 61/578,511, filed Dec. 21, 2011; each of which above applications are herein incorporated by reference.
- A portion of the disclosure of this patent document contains material which is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the Patent and Trademark Office patent file or records, but otherwise reserves all copyright rights whatsoever.
- Embodiments of the invention are generally related to in-vehicle systems and methods to detect, analyze and transmit information about an accident. The system monitors onboard sensors input then compares that input with predetermined stored relationships to detect accidents and assess damage. Accident and a damage assessment can then be wirelessly transmitted (if feasible) to interested parties such as first responders and insurance carriers.
- Information about a vehicle, or its driver, has a bearing on factors such as liability insurance, and accident investigation. For example, in the event of an accident, it may be of interest to an investigator or an insurance claims adjuster to determine the status or operation of a vehicle at the time of the accident.
- Described herein is a system and method for determination of vehicle accident information. In accordance with an embodiment, a vehicle can be equipped with a portable device equipped with a data collection and assessment environment, including one or more data collection devices that can be used to capture data and information or otherwise measure characteristics of the vehicle, and communicate that information to an accident review framework or system. In the event of an accident, the information can be used, for example, by an investigator or an insurance claims adjuster, to review the status or operation of a vehicle at the time of the accident. Additional uses of the system include that emergency systems management in handling of accidents and injuries can also be improved.
-
FIG. 1 illustrates a system for determination of vehicle accident information, in accordance with an embodiment. -
FIG. 2 further illustrates a system for determination of vehicle accident information, in accordance with an embodiment. -
FIG. 3 is a flowchart of a method for determination of vehicle accident information, in accordance with an embodiment. - As described above, information about a vehicle, or its driver, has a bearing on factors such as liability insurance, and accident investigation. For example, in the event of an accident it may be of interest to an investigator or an insurance claims adjuster to determine the status or operation of a vehicle at the time of the accident. An investigator or adjuster may also be interested in the estimated cost to repair the vehicle, or the likelihood or severity of personal injury to occupants of the vehicle.
- To address this, described herein is a system and method for determination of vehicle accident information. In accordance with an embodiment, a vehicle can be equipped with a portable device equipped with a data collection and assessment environment, including one or more data collection devices used to capture data and information or otherwise measure characteristics of the vehicle, and communicate that information to an accident review framework or system. In the event of an accident, the information can be used, for example, by an investigator or an insurance claims adjuster, to review the status or operation of a vehicle at the time of the accident, or to automatically summon emergency services, such as ambulance or police, taking into account the nature or severity of the accident.
-
FIG. 1 illustrates a system for determination of vehicle accident information, in accordance with an embodiment. - As shown in
FIG. 1 , in accordance with an embodiment, adriver 100 of avehicle 101 can use an accident information collection/assessment system 103, which can be provided all or in part as a portable device (e.g., a smartphone, a tablet computer, computer, or other portable device), and which is equipped with a data collection andassessment environment 104. - In accordance with an embodiment, the assessment system can itself include one or more data collection devices 106 (e.g., speedometers, accelerometers, GPS, gyroscopes, compass, or other measurement devices) that can be used to capture data and information, such as speed and heading, or otherwise measure vehicle actions, together with a data collection and
assessment logic 108. Apattern recognition module 118 is configured with one or more defined operating patterns, each of which operating patterns reflects either a known change in vehicle status, or a known vehicle operating or driving behavior. For example, a vehicle responds in a physically-measurable manner to driver-based driving actions, e.g., by the driver turning the vehicle sharply at a corner. An accelerometer can be similarly used to register the sudden deceleration or impact of a collision, and its direction. This enables the system to associate patterns with certain vehicle status or operations, or with historical records for a particular vehicle or for similar vehicles. - In accordance with an embodiment, an accident Information collection/
assessment module 123 can be used to collect information about accidents, or compare current patterns of driving, patterns of previous collisions, or other information, with known patterns to assess a particular accident. For example, a collision pattern might take into account the mass of a vehicle together with its direction and speed, an abrupt stop (indicative of a collision), plus the make, year, and condition of the vehicle. As another example, a driving pattern might take into account speed, swerving, acceleration, tracking of lane, etc of the vehicle. In accordance with various embodiments, other types of patterns can be considered. The resultant information can be remotely communicated to an external accident review framework orsystem 130, where the information can be used, for example, by an investigator or an insurance claims adjuster, to review the status or operation of a vehicle at the time of the accident. - In accordance with an embodiment, the information collected and/or generated by the accident review framework or system, can be used to assess the severity and type of accident, and/or to classify the accident in terms of severity and vehicle type, to be able to make an assessment of damage to the vehicle. This provides an insurer with improved management of their claims process, and also helps to reduce insurance fraud. Additional uses of the system include that emergency systems management in handling of accidents and injuries can also be improved. The method of assessing damage provides utility both in the direct impact analysis, and also in the historical compilation of similar patterns' costs, based on the range and average for a particular car, at this speed and with these readings of, e.g., gyroscope and accelerometer.
- In accordance with an embodiment, the system can incorporate or utilize additional functionality as further described in U.S. Patent Application titled “SYSTEM AND METHOD FOR USE OF PATTERN RECOGNITION IN ASSESSING OR MONITORING VEHICLE STATUS OR OPERATOR DRIVING BEHAVIOR”; application Ser. No. 13/679,722, filed Nov. 16, 2012, herein incorporated by reference.
-
FIG. 2 further illustrates a system for determination of vehicle accident information, in accordance with an embodiment. As shown inFIG. 2 , during use, the data collection and assessment environment, including one or more data collection devices, is used to capture data and information or otherwise measure characteristics of the vehicle, and provide those to an external accident review framework or system. In accordance with an embodiment, the external accident review framework or system can be used to collect or determine accident history and statistical data 140 (for example, vehicle make and model, device installation location, average cost of claim, images of damage, and/or a list of damaged components); perform an analysis of historical and statistical data 150 (for example, analysis of past claims, approximate g-force, estimated cost, and/or impact severity); and consolidate results or relation to live statistics 160 (for example, consolidation of reported accident data, reporting of g-force, averaging of claims history and estimated costs, estimation of trauma severity). The consolidated results or relation to live statistics can be provided to an investigator or an insurance claims adjuster, to assist in determining the status or operation of the vehicle at the time of the accident, and/or review any insurance claim by the Accident Review Framework 130. -
FIG. 3 is a flowchart of a method for determination of vehicle accident information, in accordance with an embodiment. As shown inFIG. 3 , atstep 182, a vehicle is provided with a data collection and assessment environment and one or more data collection devices. Atstep 184, in the event of an accident, the data collection and assessment environment remotely communicates vehicle data and information to an external accident review framework or system. Atstep 185, accident history and statistical data is determined. Atstep 186, historical and statistical data is analyzed. Atstep 188, the system consolidates results, relation to live statistics, for use by an investigator or an insurance claims adjuster, to determine the status or operation of the vehicle at the time of the accident, and/or review any insurance claim. - The present invention may be conveniently implemented using one or more conventional general purpose or specialized digital computers or microprocessors programmed according to the teachings of the present disclosure, or a portable device (e.g., a smartphone, tablet computer, computer or other device), equipped with a data collection and assessment environment, including one or more data collection devices (e.g., accelerometers, GPS) or where the portable device are connected to the data collection devices that are remote to the portable device, that are connected via wired or wireless means. Appropriate software coding can readily be prepared by skilled programmers based on the teachings of the present disclosure, as will be apparent to those skilled in the software art.
- In some embodiments, the present invention includes a computer program product which is a non-transitory storage medium (media) having instructions stored thereon/in which can be used to program a computer to perform any of the processes of the present invention. The storage medium can include, but is not limited to, any type of disk including floppy disks, optical discs, DVD, CD-ROMs, microdrive, and magneto-optical disks, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAM5, flash memory devices, magnetic or optical cards, nanosystems (including molecular memory ICs), or any type of media or device suitable for storing instructions and/or data.
- The foregoing description of the present invention has been provided for the purposes of illustration and description. It is not intended to be exhaustive or to limit the invention to the precise forms disclosed. The embodiments were chosen and described in order to best explain the principles of the invention and its practical application, thereby enabling others skilled in the art to understand the invention for various embodiments and with various modifications that are suited to the particular use contemplated. For example, although the illustrations provided herein primarily describe embodiments using vehicles, it will be evident that the techniques described herein can be similarly used with, e.g., trains, ships, airplanes, containers, or other moving equipment, and with other types of data collection devices. It is intended that the scope of the invention be defined by the following claims and their equivalence.
Claims (25)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US14/317,624 US20150006023A1 (en) | 2012-11-16 | 2014-06-27 | System and method for determination of vheicle accident information |
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US13/679,722 US9824064B2 (en) | 2011-12-21 | 2012-11-16 | System and method for use of pattern recognition in assessing or monitoring vehicle status or operator driving behavior |
US201361840383P | 2013-06-27 | 2013-06-27 | |
US201361846203P | 2013-07-15 | 2013-07-15 | |
US14/317,624 US20150006023A1 (en) | 2012-11-16 | 2014-06-27 | System and method for determination of vheicle accident information |
Publications (1)
Publication Number | Publication Date |
---|---|
US20150006023A1 true US20150006023A1 (en) | 2015-01-01 |
Family
ID=52116391
Family Applications (3)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US14/317,624 Abandoned US20150006023A1 (en) | 2012-11-16 | 2014-06-27 | System and method for determination of vheicle accident information |
US14/517,543 Active 2036-05-15 US11157973B2 (en) | 2012-11-16 | 2014-10-17 | System and method for estimation of vehicle accident damage and repair |
US17/491,945 Abandoned US20220058701A1 (en) | 2013-06-27 | 2021-10-01 | System and Method for Estimation of Vehicle Accident Damage and Repair |
Family Applications After (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US14/517,543 Active 2036-05-15 US11157973B2 (en) | 2012-11-16 | 2014-10-17 | System and method for estimation of vehicle accident damage and repair |
US17/491,945 Abandoned US20220058701A1 (en) | 2013-06-27 | 2021-10-01 | System and Method for Estimation of Vehicle Accident Damage and Repair |
Country Status (1)
Country | Link |
---|---|
US (3) | US20150006023A1 (en) |
Cited By (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106203644A (en) * | 2016-08-09 | 2016-12-07 | 深圳市永兴元科技有限公司 | Car damage identification method and device |
WO2017089684A1 (en) * | 2015-11-26 | 2017-06-01 | Peugeot Citroen Automobiles Sa | Method and terminal for controlling the establishment of a vehicle accident report |
US9916698B1 (en) | 2015-04-13 | 2018-03-13 | Allstate Insurance Company | Automatic crash detection |
WO2018055589A1 (en) * | 2016-09-26 | 2018-03-29 | Harman International Industries, Incorporated | Systems and methods for prediction of automotive warranty fraud |
US10083551B1 (en) | 2015-04-13 | 2018-09-25 | Allstate Insurance Company | Automatic crash detection |
CN110097658A (en) * | 2019-04-23 | 2019-08-06 | 贵州车秘科技有限公司 | A kind of vehicle annual test Expiration Date information cuing method and system |
US10832331B1 (en) | 2016-07-11 | 2020-11-10 | State Farm Mutual Automobile Insurance Company | Systems and methods for allocating fault to autonomous vehicles |
US10902525B2 (en) | 2016-09-21 | 2021-01-26 | Allstate Insurance Company | Enhanced image capture and analysis of damaged tangible objects |
US10949553B1 (en) | 2019-09-03 | 2021-03-16 | Airmika Inc. | System for and methods of securing vehicle electronic data |
US11195233B1 (en) | 2014-06-12 | 2021-12-07 | Allstate Insurance Company | Virtual simulation for insurance |
US11216887B1 (en) | 2014-06-12 | 2022-01-04 | Allstate Insurance Company | Virtual simulation for insurance |
US11288750B1 (en) * | 2018-10-31 | 2022-03-29 | United Services Automobile Association (Usaa) | Method and system for automatically detecting vehicle collisions for insurance claims |
US11361380B2 (en) | 2016-09-21 | 2022-06-14 | Allstate Insurance Company | Enhanced image capture and analysis of damaged tangible objects |
US11521271B2 (en) | 2017-02-06 | 2022-12-06 | Allstate Insurance Company | Autonomous vehicle control systems with collision detection and response capabilities |
US11756126B1 (en) | 2014-07-11 | 2023-09-12 | State Farm Mutual Automobile Insurance Company | Method and system for automatically streamlining the vehicle claims process |
Families Citing this family (55)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9996878B1 (en) * | 2014-03-11 | 2018-06-12 | Liberty Mutual Insurance Company | In-vehicle infotainment insurance applications |
US9466196B2 (en) * | 2014-04-08 | 2016-10-11 | Cubic Corporation | Anomalous phenomena detector |
US10373259B1 (en) | 2014-05-20 | 2019-08-06 | State Farm Mutual Automobile Insurance Company | Fully autonomous vehicle insurance pricing |
US9972054B1 (en) | 2014-05-20 | 2018-05-15 | State Farm Mutual Automobile Insurance Company | Accident fault determination for autonomous vehicles |
US11669090B2 (en) | 2014-05-20 | 2023-06-06 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle operation feature monitoring and evaluation of effectiveness |
US10089693B1 (en) | 2014-05-20 | 2018-10-02 | State Farm Mutual Automobile Insurance Company | Fully autonomous vehicle insurance pricing |
US10319039B1 (en) * | 2014-05-20 | 2019-06-11 | State Farm Mutual Automobile Insurance Company | Accident fault determination for autonomous vehicles |
US10599155B1 (en) | 2014-05-20 | 2020-03-24 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle operation feature monitoring and evaluation of effectiveness |
US10540723B1 (en) | 2014-07-21 | 2020-01-21 | State Farm Mutual Automobile Insurance Company | Methods of providing insurance savings based upon telematics and usage-based insurance |
US9881428B2 (en) * | 2014-07-30 | 2018-01-30 | Verizon Patent And Licensing Inc. | Analysis of vehicle data to predict component failure |
US10336321B1 (en) | 2014-11-13 | 2019-07-02 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle control assessment and selection |
US10360601B1 (en) * | 2014-12-11 | 2019-07-23 | Alexander Omeed Adegan | Method for generating a repair estimate through predictive analytics |
US20160314440A1 (en) * | 2015-04-21 | 2016-10-27 | Audatex North America, Inc. | Guided vehicle repair estimate system and method |
KR20230008229A (en) * | 2015-05-25 | 2023-01-13 | 크라운 이큅먼트 코포레이션 | Industrial vehicle geo-feature system |
US20170024785A1 (en) * | 2015-07-20 | 2017-01-26 | Audatex North America, Inc. | Vehicle estimating system that provides feather prime and block data |
US9870649B1 (en) | 2015-08-28 | 2018-01-16 | State Farm Mutual Automobile Insurance Company | Shared vehicle usage, monitoring and feedback |
US10134278B1 (en) | 2016-01-22 | 2018-11-20 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle application |
US11242051B1 (en) | 2016-01-22 | 2022-02-08 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle action communications |
US11441916B1 (en) | 2016-01-22 | 2022-09-13 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle trip routing |
US10395332B1 (en) | 2016-01-22 | 2019-08-27 | State Farm Mutual Automobile Insurance Company | Coordinated autonomous vehicle automatic area scanning |
US10493936B1 (en) | 2016-01-22 | 2019-12-03 | State Farm Mutual Automobile Insurance Company | Detecting and responding to autonomous vehicle collisions |
US11719545B2 (en) | 2016-01-22 | 2023-08-08 | Hyundai Motor Company | Autonomous vehicle component damage and salvage assessment |
US10324463B1 (en) | 2016-01-22 | 2019-06-18 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle operation adjustment based upon route |
US20210103817A1 (en) * | 2016-02-01 | 2021-04-08 | Mitchell International, Inc. | Systems and methods for automatically determining adjacent panel dependencies during damage appraisal |
CN107292394A (en) * | 2016-04-11 | 2017-10-24 | 富泰华工业(深圳)有限公司 | Vehicle damage pricing system and method |
US9896096B2 (en) | 2016-04-11 | 2018-02-20 | David E. Newman | Systems and methods for hazard mitigation |
US10152836B2 (en) | 2016-04-19 | 2018-12-11 | Mitchell International, Inc. | Systems and methods for use of diagnostic scan tool in automotive collision repair |
US11961341B2 (en) | 2016-04-19 | 2024-04-16 | Mitchell International, Inc. | Systems and methods for determining likelihood of incident relatedness for diagnostic trouble codes |
US20180040039A1 (en) * | 2016-08-08 | 2018-02-08 | Audatex North America, Inc. | Vehicle Component Partitioner |
US11416942B1 (en) | 2017-09-06 | 2022-08-16 | State Farm Mutual Automobile Insurance Company | Using a distributed ledger to determine fault in subrogation |
US10872381B1 (en) * | 2017-09-06 | 2020-12-22 | State Farm Mutual Automobile Insurance Company | Evidence oracles |
US11386498B1 (en) | 2017-09-06 | 2022-07-12 | State Farm Mutual Automobile Insurance Company | Using historical data for subrogation on a distributed ledger |
CN108230161A (en) * | 2017-12-12 | 2018-06-29 | 北京好修科技有限公司 | A kind of information acquisition method and its equipment |
US11562436B2 (en) * | 2018-02-08 | 2023-01-24 | The Travelers Indemnity Company | Systems and methods for automated accident analysis |
US11040683B2 (en) * | 2018-08-22 | 2021-06-22 | Toyota Motor Engineering & Manufacturing North America, Inc. | Short range communication for vehicular use |
US11769352B2 (en) * | 2018-09-06 | 2023-09-26 | Embraer S.A. | Smart and shared services platform |
US11816641B2 (en) * | 2018-09-21 | 2023-11-14 | Ttx Company | Systems and methods for task distribution and tracking |
US10773671B2 (en) * | 2019-01-10 | 2020-09-15 | Snap-On Incorporated | Method and system for reporting diagnostic trouble code set in vehicle is collision-related |
US11710097B2 (en) | 2019-03-22 | 2023-07-25 | BlueOwl, LLC | Systems and methods for obtaining incident information to reduce fraud |
US11574366B1 (en) * | 2019-04-17 | 2023-02-07 | State Farm Mutual Automobile Insurance Company | Method and system for early identification and settlement of total loss claims |
US11308741B1 (en) | 2019-05-30 | 2022-04-19 | State Farm Mutual Automobile Insurance Company | Systems and methods for modeling and simulation in vehicle forensics |
DE102019210014B3 (en) * | 2019-07-08 | 2020-09-03 | Volkswagen Aktiengesellschaft | Method for providing damage information on a motor vehicle to an external information center, as well as motor vehicle and vehicle repair emergency call system |
US11514482B2 (en) * | 2019-09-06 | 2022-11-29 | Honda Motor Co., Ltd. | Systems and methods for estimating a remaining value |
US11386726B2 (en) * | 2019-09-19 | 2022-07-12 | Ford Global Technologies, Llc | Enhanced collision detection |
US11841428B2 (en) * | 2019-09-25 | 2023-12-12 | Analog Devices International Unlimited Company | Storage for active ranging systems with write and overwrite specific instructions |
US11388351B1 (en) | 2019-10-29 | 2022-07-12 | BlueOwl, LLC | Systems and methods for gate-based vehicle image capture |
US11417208B1 (en) | 2019-10-29 | 2022-08-16 | BlueOwl, LLC | Systems and methods for fraud prevention based on video analytics |
KR20210073313A (en) * | 2019-12-10 | 2021-06-18 | 팅크웨어(주) | Vehicle terminal device, service server, method, computer program, computer readable recording medium for providing driving related guidance service |
US11915479B1 (en) * | 2019-12-30 | 2024-02-27 | Scope Technologies Holdings Limited | Systems and methods for automatedly identifying, documenting and reporting vehicle damage |
CN115668250A (en) * | 2020-01-03 | 2023-01-31 | 易识有限公司 | Method for determining a painting request for a damaged vehicle |
DE102020105949A1 (en) * | 2020-03-05 | 2021-09-09 | Audi Aktiengesellschaft | System for accident damage detection and communication |
US20210287530A1 (en) * | 2020-03-11 | 2021-09-16 | Allstate Insurance Company | Applying machine learning to telematics data to predict accident outcomes |
WO2021201825A1 (en) * | 2020-03-30 | 2021-10-07 | Google Llc | Adversarial bandits policy for crawling highly dynamic content |
US20220129860A1 (en) * | 2020-10-26 | 2022-04-28 | Genpact Luxembourg S.À R.L | Artificial Intelligence Based Determination Of Damage To Physical Structures Via Video |
DE102022107485A1 (en) | 2022-03-30 | 2023-10-05 | Dr. Ing. H.C. F. Porsche Aktiengesellschaft | Computer-implemented method for assessing a condition of a traction battery of a motor vehicle after an accident |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4638289A (en) * | 1983-02-26 | 1987-01-20 | Licentia Patent-Verwaltungs-Gmbh | Accident data recorder |
US20020111725A1 (en) * | 2000-07-17 | 2002-08-15 | Burge John R. | Method and apparatus for risk-related use of vehicle communication system data |
US20050046584A1 (en) * | 1992-05-05 | 2005-03-03 | Breed David S. | Asset system control arrangement and method |
US20050107933A1 (en) * | 2003-11-17 | 2005-05-19 | Fujitsu Ten Limited | Airbag apparatus |
US20050128062A1 (en) * | 2003-12-16 | 2005-06-16 | Lundsgaard Soren K. | Method and apparatus for detecting vehicular collisions |
US9141582B1 (en) * | 2012-12-19 | 2015-09-22 | Allstate Insurance Company | Driving trip and pattern analysis |
Family Cites Families (83)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
NL8402497A (en) | 1984-08-14 | 1986-03-03 | Philips Nv | VEHICLE NAVIGATION SYSTEM EQUIPPED WITH AN ADAPTIVE INSURANCE NAVIGATION SYSTEM BASED ON MEASUREMENT OF THE SPEED AND CROSS-GEAR ACCELERATION OF THE VEHICLE AND PROVIDED WITH A CORRECTION UNIT FOR CORRECTING THE MEASURED VALUES. |
GB9015445D0 (en) | 1990-07-13 | 1991-02-20 | Royal Ordnance Plc | Projectile surveillance apparatus |
US8169311B1 (en) | 1999-12-15 | 2012-05-01 | Automotive Technologies International, Inc. | Wireless transmission system for vehicular component control and monitoring |
US8229624B2 (en) | 1995-06-07 | 2012-07-24 | American Vehicular Sciences Llc | Vehicle diagnostic information generating and transmission systems and methods |
US8054203B2 (en) | 1995-06-07 | 2011-11-08 | Automotive Technologies International, Inc. | Apparatus and method for determining presence of objects in a vehicle |
US9443358B2 (en) | 1995-06-07 | 2016-09-13 | Automotive Vehicular Sciences LLC | Vehicle software upgrade techniques |
US8140358B1 (en) * | 1996-01-29 | 2012-03-20 | Progressive Casualty Insurance Company | Vehicle monitoring system |
US8090598B2 (en) | 1996-01-29 | 2012-01-03 | Progressive Casualty Insurance Company | Monitoring system for determining and communicating a cost of insurance |
US6282496B1 (en) | 1999-10-29 | 2001-08-28 | Visteon Technologies, Llc | Method and apparatus for inertial guidance for an automobile navigation system |
JP4403640B2 (en) * | 2000-06-29 | 2010-01-27 | ソニー株式会社 | Mobile security system |
US20020055861A1 (en) | 2000-11-08 | 2002-05-09 | King Daniel A. | Claiming system and method |
US6677854B2 (en) | 2001-10-05 | 2004-01-13 | Case, Llc | Remote vehicle diagnostic system |
US7761544B2 (en) | 2002-03-07 | 2010-07-20 | Nice Systems, Ltd. | Method and apparatus for internal and external monitoring of a transportation vehicle |
JP4416374B2 (en) * | 2002-03-26 | 2010-02-17 | 富士通株式会社 | Insurance premium setting method, insurance premium setting program, and insurance premium setting device |
US7792690B2 (en) * | 2002-11-27 | 2010-09-07 | Computer Sciences Corporation | Computerized method and system for estimating an effect on liability of the speed of vehicles in an accident and time and distance traveled by the vehicles |
DE10335741A1 (en) | 2003-08-05 | 2005-03-17 | Robert Bosch Gmbh | Method for determining a critical driving behavior |
US7389178B2 (en) | 2003-12-11 | 2008-06-17 | Greenroad Driving Technologies Ltd. | System and method for vehicle driver behavior analysis and evaluation |
US7715961B1 (en) | 2004-04-28 | 2010-05-11 | Agnik, Llc | Onboard driver, vehicle and fleet data mining |
EP1788396B1 (en) | 2004-08-12 | 2013-03-20 | Asahi Kasei EMD Corporation | Acceleration measuring device |
US20120018989A1 (en) | 2004-08-31 | 2012-01-26 | Automotive Technologies International, Inc. | Method for deploying a vehicular occupant protection system |
US20060092890A1 (en) | 2004-11-01 | 2006-05-04 | Gupta Vivek G | Global network neighborhood: scheme for providing information about available networks in a geographical location |
US7348895B2 (en) | 2004-11-03 | 2008-03-25 | Lagassey Paul J | Advanced automobile accident detection, data recordation and reporting system |
US7650231B2 (en) | 2005-04-25 | 2010-01-19 | The Boeing Company | AGTM airborne surveillance |
EP1886202A4 (en) | 2005-06-01 | 2011-09-21 | Allstate Insurance Co | Motor vehicle operating data collection and analysis |
DE102005033237B4 (en) | 2005-07-15 | 2007-09-20 | Siemens Ag | Method for determining and correcting misalignments and offsets of the sensors of an inertial measurement unit in a land vehicle |
US7546219B2 (en) * | 2005-08-31 | 2009-06-09 | The Boeing Company | Automated damage assessment, report, and disposition |
US20070061155A1 (en) | 2005-09-13 | 2007-03-15 | Yiming Ji | Universal Vehicle Communication & Management System |
JP2007094935A (en) | 2005-09-30 | 2007-04-12 | Omron Corp | Information processing device, method, system, and program, and recording medium |
GB0605069D0 (en) | 2006-03-14 | 2006-04-26 | Airmax Group Plc | Method and system for driver style monitoring and analysing |
US8630768B2 (en) | 2006-05-22 | 2014-01-14 | Inthinc Technology Solutions, Inc. | System and method for monitoring vehicle parameters and driver behavior |
US9189960B2 (en) * | 2006-05-31 | 2015-11-17 | Manheim Investments, Inc. | Computer-based technology for aiding the repair of motor vehicles |
US7643960B2 (en) | 2007-03-05 | 2010-01-05 | Gm Global Technology Operations, Inc. | Correction of factors in vehicle accelerometer signals |
US20080255887A1 (en) * | 2007-04-10 | 2008-10-16 | Autoonline Gmbh Informationssysteme | Method and system for processing an insurance claim for a damaged vehicle |
US8606512B1 (en) | 2007-05-10 | 2013-12-10 | Allstate Insurance Company | Route risk mitigation |
US8825277B2 (en) | 2007-06-05 | 2014-09-02 | Inthinc Technology Solutions, Inc. | System and method for the collection, correlation and use of vehicle collision data |
US9665910B2 (en) | 2008-02-20 | 2017-05-30 | Hartford Fire Insurance Company | System and method for providing customized safety feedback |
US20090228172A1 (en) * | 2008-03-05 | 2009-09-10 | Gm Global Technology Operations, Inc. | Vehicle-to-vehicle position awareness system and related operating method |
US8140359B2 (en) | 2008-09-11 | 2012-03-20 | F3M3 Companies, Inc, | System and method for determining an objective driver score |
US8140213B2 (en) | 2008-10-06 | 2012-03-20 | International Business Machines Corporation | Detection of vehicle operation under adverse conditions |
US20100131300A1 (en) | 2008-11-26 | 2010-05-27 | Fred Collopy | Visible insurance |
US20110147513A1 (en) | 2009-01-21 | 2011-06-23 | John Steven Surmont | Aerial payload deployment system |
US8854199B2 (en) | 2009-01-26 | 2014-10-07 | Lytx, Inc. | Driver risk assessment system and method employing automated driver log |
JP5319402B2 (en) | 2009-06-01 | 2013-10-16 | 富士通テン株式会社 | Eco-run status notification device and eco-run status notification method |
US9658079B2 (en) | 2009-07-10 | 2017-05-23 | Tomtom Telematics B.V. | Accelerometer system and method |
US8444082B1 (en) | 2009-08-19 | 2013-05-21 | The United States Of America, As Represented By The Secretary Of The Navy | High performance ‘X’-configuration airplane for storage and launch from a tubular container |
US20110046842A1 (en) | 2009-08-21 | 2011-02-24 | Honeywell International Inc. | Satellite enabled vehicle prognostic and diagnostic system |
US20130046562A1 (en) | 2009-11-06 | 2013-02-21 | Jeffrey Taylor | Method for gathering, processing, and analyzing data to determine the risk associated with driving behavior |
BR112012011030A2 (en) | 2009-11-10 | 2018-03-20 | Atx Group Inc | hybrid architecture for emergency calls |
US20110213628A1 (en) * | 2009-12-31 | 2011-09-01 | Peak David F | Systems and methods for providing a safety score associated with a user location |
US8805707B2 (en) | 2009-12-31 | 2014-08-12 | Hartford Fire Insurance Company | Systems and methods for providing a safety score associated with a user location |
US20120010906A1 (en) | 2010-02-09 | 2012-01-12 | At&T Mobility Ii Llc | System And Method For The Collection And Monitoring Of Vehicle Data |
US9043041B2 (en) | 2010-02-12 | 2015-05-26 | Webtech Wireless Inc. | Monitoring aggressive driving operation of a mobile asset |
WO2011146466A2 (en) | 2010-05-17 | 2011-11-24 | The Travelers Companies, Inc. | Monitoring customer-selected vehicle parameters |
US20110313650A1 (en) | 2010-06-21 | 2011-12-22 | Qualcomm Incorporated | Inertial sensor orientation detection and measurement correction for navigation device |
US8335616B2 (en) | 2010-09-27 | 2012-12-18 | GM Global Technology Operations LLC | Individualizable post-crash assist system |
US9142142B2 (en) * | 2010-12-10 | 2015-09-22 | Kaarya, Llc | In-car driver tracking device |
EP3255613B1 (en) | 2010-12-15 | 2022-09-21 | Auto Telematics Ltd | Method and system for logging vehicle behaviour |
US20120173444A1 (en) | 2011-01-04 | 2012-07-05 | Ory Zik | Method and system for energy efficiency and sustainability management |
EP2498059B1 (en) | 2011-03-09 | 2020-04-29 | Harman Becker Automotive Systems GmbH | Navigation route calculation using three-dimensional models |
US20110307188A1 (en) | 2011-06-29 | 2011-12-15 | State Farm Insurance | Systems and methods for providing driver feedback using a handheld mobile device |
CA2844673C (en) | 2011-08-09 | 2019-11-05 | Otman A. Basir | Vehicle monitoring system with automatic driver identification |
US20130060583A1 (en) | 2011-09-02 | 2013-03-07 | The Travelers Indemnity Company | Systems and methods for insurance product pricing and safety program management |
CN102436738B (en) | 2011-09-26 | 2014-03-05 | 同济大学 | Traffic monitoring device based on unmanned aerial vehicle (UAV) |
WO2013074868A1 (en) | 2011-11-16 | 2013-05-23 | Flextronics Ap, Llc | Complete vehicle ecosystem |
US8510200B2 (en) * | 2011-12-02 | 2013-08-13 | Spireon, Inc. | Geospatial data based assessment of driver behavior |
US9037394B2 (en) * | 2012-05-22 | 2015-05-19 | Hartford Fire Insurance Company | System and method to determine an initial insurance policy benefit based on telematics data collected by a smartphone |
US9165469B2 (en) * | 2012-07-09 | 2015-10-20 | Elwha Llc | Systems and methods for coordinating sensor operation for collision detection |
US9558667B2 (en) * | 2012-07-09 | 2017-01-31 | Elwha Llc | Systems and methods for cooperative collision detection |
US20140019167A1 (en) * | 2012-07-16 | 2014-01-16 | Shuli Cheng | Method and Apparatus for Determining Insurance Risk Based on Monitoring Driver's Eyes and Head |
US8510196B1 (en) * | 2012-08-16 | 2013-08-13 | Allstate Insurance Company | Feedback loop in mobile damage assessment and claims processing |
US9535878B1 (en) * | 2012-12-19 | 2017-01-03 | Allstate Insurance Company | Driving event data analysis |
US9081650B1 (en) * | 2012-12-19 | 2015-07-14 | Allstate Insurance Company | Traffic based driving analysis |
US9104535B1 (en) * | 2012-12-19 | 2015-08-11 | Allstate Insurance Company | Traffic based driving analysis |
US9141995B1 (en) * | 2012-12-19 | 2015-09-22 | Allstate Insurance Company | Driving trip and pattern analysis |
US9524269B1 (en) * | 2012-12-19 | 2016-12-20 | Allstate Insurance Company | Driving event data analysis |
US8930044B1 (en) | 2012-12-28 | 2015-01-06 | Google Inc. | Multi-part navigation process by an unmanned aerial vehicle for navigating to a medical situatiion |
US8799034B1 (en) * | 2013-03-08 | 2014-08-05 | Allstate University Company | Automated accident detection, fault attribution, and claims processing |
US9384597B2 (en) | 2013-03-14 | 2016-07-05 | Telogis, Inc. | System and method for crowdsourcing vehicle-related analytics |
US20140279707A1 (en) | 2013-03-15 | 2014-09-18 | CAA South Central Ontario | System and method for vehicle data analysis |
US20140297058A1 (en) | 2013-03-28 | 2014-10-02 | Hand Held Products, Inc. | System and Method for Capturing and Preserving Vehicle Event Data |
CN106132826B (en) | 2014-03-25 | 2018-04-13 | 瓦斯菲·阿希达法特 | Police unmanned plane |
AU2014331637B2 (en) | 2014-04-29 | 2017-03-16 | Cambridge Mobile Telematics | A system and method for obtaining vehicle telematics data |
US11299310B2 (en) | 2017-11-03 | 2022-04-12 | Main Tech S.R.L. | Apparatus for emptying bags containing loose material |
-
2014
- 2014-06-27 US US14/317,624 patent/US20150006023A1/en not_active Abandoned
- 2014-10-17 US US14/517,543 patent/US11157973B2/en active Active
-
2021
- 2021-10-01 US US17/491,945 patent/US20220058701A1/en not_active Abandoned
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4638289A (en) * | 1983-02-26 | 1987-01-20 | Licentia Patent-Verwaltungs-Gmbh | Accident data recorder |
US20050046584A1 (en) * | 1992-05-05 | 2005-03-03 | Breed David S. | Asset system control arrangement and method |
US20020111725A1 (en) * | 2000-07-17 | 2002-08-15 | Burge John R. | Method and apparatus for risk-related use of vehicle communication system data |
US20050107933A1 (en) * | 2003-11-17 | 2005-05-19 | Fujitsu Ten Limited | Airbag apparatus |
US20050128062A1 (en) * | 2003-12-16 | 2005-06-16 | Lundsgaard Soren K. | Method and apparatus for detecting vehicular collisions |
US9141582B1 (en) * | 2012-12-19 | 2015-09-22 | Allstate Insurance Company | Driving trip and pattern analysis |
Cited By (27)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11861724B2 (en) | 2014-06-12 | 2024-01-02 | Allstate Insurance Company | Virtual simulation for insurance |
US11195233B1 (en) | 2014-06-12 | 2021-12-07 | Allstate Insurance Company | Virtual simulation for insurance |
US11216887B1 (en) | 2014-06-12 | 2022-01-04 | Allstate Insurance Company | Virtual simulation for insurance |
US11798320B2 (en) * | 2014-07-11 | 2023-10-24 | State Farm Mutual Automobile Insurance Company | System, method, and computer-readable medium for facilitating treatment of a vehicle damaged in a crash |
US11756126B1 (en) | 2014-07-11 | 2023-09-12 | State Farm Mutual Automobile Insurance Company | Method and system for automatically streamlining the vehicle claims process |
US10650617B2 (en) | 2015-04-13 | 2020-05-12 | Arity International Limited | Automatic crash detection |
US10083551B1 (en) | 2015-04-13 | 2018-09-25 | Allstate Insurance Company | Automatic crash detection |
US10223843B1 (en) | 2015-04-13 | 2019-03-05 | Allstate Insurance Company | Automatic crash detection |
US10083550B1 (en) | 2015-04-13 | 2018-09-25 | Allstate Insurance Company | Automatic crash detection |
US9916698B1 (en) | 2015-04-13 | 2018-03-13 | Allstate Insurance Company | Automatic crash detection |
US11074767B2 (en) | 2015-04-13 | 2021-07-27 | Allstate Insurance Company | Automatic crash detection |
US11107303B2 (en) | 2015-04-13 | 2021-08-31 | Arity International Limited | Automatic crash detection |
FR3044502A1 (en) * | 2015-11-26 | 2017-06-02 | Peugeot Citroen Automobiles Sa | METHOD AND TERMINAL FOR CONTROLLING THE ESTABLISHMENT OF AN ACCIDENT REPORT OF A VEHICLE |
WO2017089684A1 (en) * | 2015-11-26 | 2017-06-01 | Peugeot Citroen Automobiles Sa | Method and terminal for controlling the establishment of a vehicle accident report |
US10832331B1 (en) | 2016-07-11 | 2020-11-10 | State Farm Mutual Automobile Insurance Company | Systems and methods for allocating fault to autonomous vehicles |
US11379925B1 (en) | 2016-07-11 | 2022-07-05 | State Farm Mutual Automobile Insurance Company | Systems and methods for allocating fault to autonomous vehicles |
CN106203644A (en) * | 2016-08-09 | 2016-12-07 | 深圳市永兴元科技有限公司 | Car damage identification method and device |
US10902525B2 (en) | 2016-09-21 | 2021-01-26 | Allstate Insurance Company | Enhanced image capture and analysis of damaged tangible objects |
US11361380B2 (en) | 2016-09-21 | 2022-06-14 | Allstate Insurance Company | Enhanced image capture and analysis of damaged tangible objects |
JP7167009B2 (en) | 2016-09-26 | 2022-11-08 | ハーマン インターナショナル インダストリーズ インコーポレイテッド | System and method for predicting automobile warranty fraud |
JP2019533242A (en) * | 2016-09-26 | 2019-11-14 | ハーマン インターナショナル インダストリーズ インコーポレイテッド | System and method for predicting fraud in automobile warranty |
WO2018055589A1 (en) * | 2016-09-26 | 2018-03-29 | Harman International Industries, Incorporated | Systems and methods for prediction of automotive warranty fraud |
US11521271B2 (en) | 2017-02-06 | 2022-12-06 | Allstate Insurance Company | Autonomous vehicle control systems with collision detection and response capabilities |
US11288750B1 (en) * | 2018-10-31 | 2022-03-29 | United Services Automobile Association (Usaa) | Method and system for automatically detecting vehicle collisions for insurance claims |
US11676216B1 (en) | 2018-10-31 | 2023-06-13 | United Services Automobile Association (Usaa) | Method and system for automatically detecting vehicle collisions for insurance claims |
CN110097658A (en) * | 2019-04-23 | 2019-08-06 | 贵州车秘科技有限公司 | A kind of vehicle annual test Expiration Date information cuing method and system |
US10949553B1 (en) | 2019-09-03 | 2021-03-16 | Airmika Inc. | System for and methods of securing vehicle electronic data |
Also Published As
Publication number | Publication date |
---|---|
US20150039397A1 (en) | 2015-02-05 |
US20220058701A1 (en) | 2022-02-24 |
US11157973B2 (en) | 2021-10-26 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20150006023A1 (en) | System and method for determination of vheicle accident information | |
US11068995B1 (en) | Methods of reconstructing an accident scene using telematics data | |
US10929500B2 (en) | System and method for use of pattern recognition in assessing or monitoring vehicle status or operator driving behavior | |
JP7291201B2 (en) | Vehicle Telematics for Vehicle Collisions | |
US9688282B2 (en) | Driver risk assessment system and method employing automated driver log | |
EP3965082B1 (en) | Vehicle monitoring system and vehicle monitoring method | |
US9685098B1 (en) | Driver compliance risk adjustments | |
JP2021503678A (en) | Collision evaluation | |
US10672258B1 (en) | In-vehicle apparatus for early determination of occupant injury | |
GB2522728A (en) | Monitoring device | |
SG188578A1 (en) | Vehicle behavior analysis device, vehicle behavior analysis program and drive recorder | |
US20210295441A1 (en) | Using vehicle data and crash force data in determining an indication of whether a vehicle in a vehicle collision is a total loss | |
EP2930697A1 (en) | Method and device for processing vehicle condition data | |
US20200364800A1 (en) | Systems and method for calculating liability of a driver of a vehicle | |
US20180096433A1 (en) | Calculation of Differential for Insurance Rates | |
US20210261140A1 (en) | Technologies for driver behavior assessment | |
WO2018187967A1 (en) | Apparatus, server and method for vehicle sharing | |
US11263837B2 (en) | Automatic real-time detection of vehicular incidents | |
US20230103670A1 (en) | Video analysis for efficient sorting of event data | |
Tsai et al. | A safety driving assistance system by integrating in-vehicle dynamics and real-time traffic information | |
Schietekat et al. | Detection of reckless driving in the Sub-Saharan informal public transportation system using acceleration-sensing telematics | |
CN207743991U (en) | A kind of car networking system based on SOC chip | |
Chapman | PUBLISHED PROJECT REPORT PPR2017 | |
Dingus | Human factors applications in surface transportation |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AS | Assignment |
Owner name: SCOPE TECHNOLOGIES HOLDINGS LIMITED, VIRGIN ISLAND Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:FUCHS, GIL EMANUEL;REEL/FRAME:039361/0609 Effective date: 20160707 |
|
STCV | Information on status: appeal procedure |
Free format text: APPEAL BRIEF (OR SUPPLEMENTAL BRIEF) ENTERED AND FORWARDED TO EXAMINER |
|
STPP | Information on status: patent application and granting procedure in general |
Free format text: NON FINAL ACTION MAILED |
|
STPP | Information on status: patent application and granting procedure in general |
Free format text: RESPONSE TO NON-FINAL OFFICE ACTION ENTERED AND FORWARDED TO EXAMINER |
|
STPP | Information on status: patent application and granting procedure in general |
Free format text: FINAL REJECTION MAILED |
|
STCV | Information on status: appeal procedure |
Free format text: NOTICE OF APPEAL FILED |
|
STCB | Information on status: application discontinuation |
Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION |