Injury Sciences LLC

Ccc Information Services Inc.

Darrin A Smith

Scott D Kidd

David Joseph Pancratz

Scott Palmer

John B Bomar, Jr

John Laurence Haller, Jr

Kenna Henn

Scott Paimer

Linda J Rogers

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.

Image processing system for vehicle damage

An image processing system includes a first image processor that creates a composite 3-D image or model of a damaged vehicle from a plurality of 2-D images of the damaged vehicle. The first image processor or another image processor of the system generates deformation data that is indicative or descriptive of points/areas of damage on the vehicle based on a comparison of the composite 3-D image/model with a 3-D image/model of a pristine vehicle. Based on the deformation data, a deformation model component generates indications of replacement parts and/or other items corresponding to repairing the vehicle by utilizing a model generated from historical claim data. Aside from receiving the initial set of images of the damaged vehicle, the system does not require any user input, and may generate the indications of replacement parts and/or other items corresponding to repairing the vehicle in real-time, such as at FNOL.

Imaging processing system for identifying parts for repairing a vehicle

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.

Analyzing a collision with a vehicle having unknown damage

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.

Methods and apparatus for using black box data to analyze vehicular accidents

In one embodiment, the present invention includes a computer-implemented method to collect information to determine damage to a vehicle involved in a collision using photogrammetric techniques. When determined, this vehicle damage information, which may be in the form of crush measurement information such as a crush damage profile, can be displayed in a computer-generated view of the subject vehicle with a crush damage profile and used to estimate the impact severity. In some embodiments, based on the photogrammetric information derived, a direction of any shifting of the vehicle's components may be obtained and used along with other information to estimate a principal direction of force (PDOF) for one or more vehicles involved in the collision. Still further embodiments may be used to generate and/or audit repair estimates based at least in part on the photogrammetric information.

Method and apparatus for obtaining photogrammetric data to estimate impact severity

In one embodiment, the present invention includes a computer-implemented method for receiving information regarding a vehicle involved in an accident, determining availability of event data recorder (EDR) data from the vehicle based on the information, and if the EDR data is available, assigning a level of suitability for data collection from the EDR based at least in part on a type of the EDR and information regarding the accident.

Method and apparatus for obtaining and using event data recorder triage data

In one embodiment, a method includes receiving data for a vehicle involved in an accident, analyzing the data for classification of damaged components and operations to be performed on the vehicle, and generating a triage decision for the vehicle based on a rules-based analysis of the classification and the operations. The triage decision may be used to route a claim corresponding to the accident to an appropriate resource for analysis and handling.

Method and apparatus for obtaining and using impact severity triage data

A system and method that utilizes information relating to vehicle damage information including damaged vehicle area information, crush depth of the damaged areas information, and vehicle component-by-component damage information to estimate the relative velocities of vehicles involved in a collision. The change in velocity is estimated using a plurality of methods, and a determination is made as to which method provided a result that is likely to be more accurate, based on the damage information, and the types of vehicles involved. The results from each method may also be weighted and combined to provide a multi-method estimate of the closing velocity. The methods include using crash test data from one or more sources, estimating closing velocity based on the principals of conservation of momentum, and estimating closing velocity based on deformation energy resulting from the collision.

Growing community of inventors

San Antonio, TX, United States of America

Darrin A Smith