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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.

Patent No.:

US 12548441 B1

PDFFull Text
Date of Patent:
Feb. 10, 2026

Filed:

Apr. 04, 2025

Ai-assisted vehicle communication and safety system for tailgating detection

Applicant:

Leigh M. Rothschild, Miami, FL (US);

Inventor:

Leigh M. Rothschild, Miami, FL (US);

Assignee:
Attorneys:

Dobbin IP Law, P.C.

Geoffrey E. Dobbin

Primary Examiner:

Babar Sarwar

Int. Cl.
CPC ...
G08G 1/0967 (2006.01); B60Q 1/50 (2006.01); B60W 30/12 (2020.01); B60W 30/16 (2020.01); B60W 50/00 (2006.01); B60W 50/14 (2020.01); B60W 60/00 (2020.01); G06V 10/776 (2022.01); G06V 10/94 (2022.01); G06V 20/58 (2022.01); G06V 20/62 (2022.01); G09G 3/32 (2016.01);
U.S. Cl.
CPC ...
G08G 1/096725 (2013.01); B60Q 1/5035 (2022.05); B60W 30/12 (2013.01); B60W 30/16 (2013.01); B60W 50/0098 (2013.01); B60W 50/14 (2013.01); B60W 60/0015 (2020.02); G06V 10/776 (2022.01); G06V 10/95 (2022.01); G06V 20/58 (2022.01); G06V 20/625 (2022.01); G08G 1/096775 (2013.01); G09G 3/32 (2013.01); B60W 2050/0028 (2013.01); B60W 50/0097 (2013.01); B60W 2050/143 (2013.01); B60W 2050/146 (2013.01); B60W 2420/403 (2013.01); B60W 2420/408 (2024.01); B60W 2552/00 (2020.02); B60W 2554/4041 (2020.02); B60W 2554/4046 (2020.02); B60W 2555/20 (2020.02); B60W 2556/10 (2020.02); B60W 2556/45 (2020.02); B60W 2720/10 (2013.01); B60W 2754/30 (2020.02); G06V 2201/08 (2022.01); G09G 2380/10 (2013.01);
Abstract

A method for detecting and mitigating tailgating behavior in vehicle environment is disclosed. The method includes receiving real-time data from sensors integrated into a vehicle. The real-time data comprises information related to the surroundings of the vehicle. The method comprises analyzing the real-time data based on using Artificial Intelligence (AI) models extracted from a memory, to detect patterns and behaviors of the vehicle. The method includes identifying tailgating behavior based on the patterns and behaviors of the vehicle. The method includes validating accuracy of the identified tailgating behavior using the AI models. The method includes generating an alert to a user of the vehicle based on the validation of the accuracy of the identified tailgating behavior. The method comprises enabling an autonomous control system integrated with the vehicle to adjust speed and lane positioning of the vehicle based on the alert.

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