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Cyngn Granted 19th U.S. Patent for its AI-Powered Autonomous Vehicle Technologies

Cyngn |

MENLO PARK, Calif., January 29, 2024  – Cyngn Inc. (the “Company” or “Cyngn”) (Nasdaq: CYN), a developer of AI-powered autonomous driving solutions for industrial applications, today announced the issuance of a new patent, US-11,851,074-B2, for the Company’s autonomous vehicle (AV) and driving solutions. This new patent of System and Methods of Large-Scale Autonomous Driving Validation provides expanded safety features in identifying problems arising from AV driving operations and generating a notification message regarding the problem. 

“I am pleased with the remarkable progress and pace of innovation our technology team has achieved as this latest patent expands our total number of U.S. patents to 19,” said Cyngn’s Chairman and Chief Executive Officer, Lior Tal. “Prior to 2023, we were granted 3 U.S. patents. During the first half of 2023, 7 U.S. patents were granted with the second half of last year securing 9 additional patents. Currently we have an additional 6 U.S. patents and 20 international patents submitted which we anticipate to be granted in the coming years.”

Cyngn aims to provide its customers with advanced automation via its DriveMod autonomous vehicle solutions that leverage state-of-the-art sensors and AI to produce humanlike driving capabilities across multiple vehicle types without requiring site infrastructure overhauls.

This additional patent comes on the heels of the Company’s announcement of the procurement of patent 18, which protects Cyngn’s novel adaptive traffic rule-based decision making for autonomous driving.

Cyngn’s patent family is comprised of the following granted patents:

Patent Number

Title

Publication Date

US-11,851,074-B2

SYSTEM AND METHODS OF LARGE-SCALE AUTONOMOUS DRIVING VALIDATION

12/26/2023

US-11,837,090-B2

SYSTEM AND METHODS OF ADAPTIVE TRAFFIC RULE-BASED DECISION MAKING FOR AUTONOMOUS DRIVING

12/5/2023

US-11,837,089-B2

MODULAR EXTENSIBLE BEHAVIORAL DECISION SYSTEM FOR AUTONOMOUS DRIVING

12/5/2023

US-11,767,034-B2

SYSTEM AND METHOD OF COMPUTATION ACCELERATION FOR AUTONOMOUS DRIVING SYSTEMS

9/26/2023

US-11,760,368-B2

SYSTEM AND METHOD OF SAME-LOOP ADAPTIVE SIMULATION FOR AUTONOMOUS DRIVING

9/19/2023

US-11,747,454-B2

GRANULARITY-FLEXIBLE EXISTENCE-BASED OBJECT DETECTION

9/5/2023

US-11,745,762-B2

SYSTEM AND METHODS OF ADAPTIVE TRAJECTORY PREDICTION FOR AUTONOMOUS DRIVING

9/5/2023

US-11,745,747-B2

SYSTEM AND METHOD OF ADAPTIVE DISTRIBUTION OF AUTONOMOUS DRIVING COMPUTATIONS

9/5/2023

US-11,745,750-B2

SYSTEM AND METHOD OF LARGE-SCALE AUTOMATIC GRADING IN AUTONOMOUS DRIVING USING A DOMAIN-SPECIFIC LANGUAGE

9/5/2023

US-11,679,726-B2

VEHICLE SENSOR SYSTEMS

6/20/2023

US-11,673,577-B2

SYSTEM AND METHODS OF ADAPTIVE RELEVANCY PREDICTION FOR AUTONOMOUS DRIVING

6/13/2023

US-11,668,833-B2

OBSTACLE DETECTION SYSTEMS

6/6/2023

US-11,651,583-B2

MULTI-CHANNEL OBJECT MATCHING

5/16/2023

US-11,614,527-B2

SELF-ADAPTIVE LIDAR-CAMERA SYNCHRONIZATION SYSTEM

3/28/2023

US-11,592,565-B2

FLEXIBLE MULTI-CHANNEL FUSION PERCEPTION

2/28/2023

US-11,555,928-B2

THREE-DIMENSIONAL OBJECT DETECTION WITH GROUND REMOVAL INTELLIGENCE

1/17/2023

US-11,372,115-B2

VEHICLE LOCALIZATION

6/28/2022

US-11,186,234-B2

VEHICLE SENSOR SYSTEMS

11/30/2021

US-11,169,271-B2

OBSTACLE DETECTION SYSTEMS

11/9/2021

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