US 2026/0087858 A1 · SYSTEMS AND METHODS FOR COLLISION DETECTION

Abstract

A method for detecting vehicle collisions using multi-stage data analysis is described. Telematics data from a vehicle-installed computing device is received and processed through a heuristic filter to identify potential collisions. A feature vector is generated from the filtered data and input into a trained predictive model, which classifies the vector as representing a collision or not. The method then retrieves associated dashcam footage and uses it, along with the predictive model's output, to confirm the occurrence of a collision. Upon confirmation, a notification is transmitted to a remote computing device. This approach combines telematics data analysis, machine learning prediction, and video verification to achieve accurate collision detection and notification.

Claims20

Dependent claims

A system comprising:

a vehicle computing device installed within a vehicle configured to:
generate telematics data for the vehicle,
apply a heuristic filter on the telematics data to classify the telematics data as representing a potential collision of the vehicle, and
identify collision candidates based on an output of the heuristic filter, the collision candidates including a subset of the telematics data;
and
a server computing device configured to:
receive the collision candidates from the vehicle computing device,
generate a feature vector representing the collision candidates,
predict that the feature vector represents a collision by inputting the feature vector into a predictive model trained to classify feature vectors of telematics data to binary classifications of collisions,
retrieve dashcam footage associated with the vehicle,
confirm that a collision has occurred based on the dashcam footage and an output of the predictive model, and
transmit a notification of the collision to a remote computing device.

9 more elements

A non-transitory computer-readable storage medium for tangibly storing computer program instructions capable of being executed by a computer processor, the computer program instructions defining steps of:

receiving telematics data from a computing device installed in a vehicle;
applying a heuristic filter on the telematics data to classify the telematics data as representing a potential collision of the vehicle;
generating a feature vector representing the telematics data;
predicting that the feature vector represents a collision by inputting the feature vector into a predictive model trained to classify feature vectors of telematics data to binary classifications of collisions;
retrieving dashcam footage associated with the vehicle;
confirming that a collision has occurred based on the dashcam footage and an output of the predictive model;
and
transmitting a notification of the collision to a remote computing device.

5 more elements

Dependencies are inferred from the claim text.

Systems and methods for collision detection

Life of this patent

Systems and methods for collision detection

Life of this patent

Abstract

Claims20