The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 18, 2025

Filed:

Sep. 10, 2021
Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventors:

Frederik Pasch, Karlsruhe, DE;

Bernd Gassmann, Straubenhardt, DE;

Kay-Ulrich Scholl, Malsch, DE;

Cornelius Buerkle, Karlsruhe, DE;

Fabian Oboril, Karlsruhe, DE;

Assignee:

Intel Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60Q 1/00 (2006.01); A61B 5/00 (2006.01); A61B 5/18 (2006.01); B60W 30/08 (2012.01); B60W 40/08 (2012.01); B60W 50/14 (2020.01); G06Q 50/26 (2012.01); G06V 20/59 (2022.01); G08G 1/0962 (2006.01); G08G 1/16 (2006.01); G16H 40/67 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01);
U.S. Cl.
CPC ...
G16H 50/30 (2018.01); A61B 5/18 (2013.01); A61B 5/6893 (2013.01); A61B 5/747 (2013.01); B60W 30/08 (2013.01); B60W 40/08 (2013.01); B60W 50/14 (2013.01); G06Q 50/265 (2013.01); G06V 20/597 (2022.01); G08G 1/09626 (2013.01); G08G 1/164 (2013.01); G16H 40/67 (2018.01); G16H 50/70 (2018.01); B60W 2030/082 (2013.01); B60W 2420/40 (2013.01); B60W 2420/403 (2013.01); B60W 2420/408 (2024.01); B60W 2420/54 (2013.01); B60W 2540/221 (2020.02); B60W 2540/223 (2020.02); B60W 2540/227 (2020.02); B60W 2556/45 (2020.02);
Abstract

A monitoring system may include a memory having computer-readable instructions stored thereon and a processor operatively coupled to the memory. The processor may read and execute the computer-readable instructions to perform or control performance of operations. The operations may include receive, prior to a collision involving a vehicle, sensor data representative of a feature of an internal environment and determine the collision has occurred. The operations may include automatically instruct, based on the collision, a sensor to generate another sensor data representative of another feature of the internal environment. The operations may include receive the another sensor data from the sensor and compare the sensor data and the another sensor data to accident data corresponding to previous accidents. The accident data may include a diagnosed injury and an accident severity of each of the previous accidents. The operations may include determine a severity of the collision based on the comparison.


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