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Cyngn Receives Notice of Allowance for 21st U.S. Patent for its Adaptive Object-based Decision Making System

09 July 2024

MENLO PARK, Calif., July 9, 2024 /PRNewswire/ -- Cyngn Inc. (the "Company" or "Cyngn") (Nasdaq: CYN) today announced the notice of allowance for a new patent for the Company's autonomous vehicle (AV) solutions. This patent introduces an adaptive decision making method designed to enhance how AVs operate in real-world environments in response to other detected objects.

21st U.S. Patent Allowance

AVs rely on sensors to scan and understand their surroundings, which enables detection of nearby objects. This patent describes a method to apply driving rules and rules associated with detected objects to inform decisions of the AV.

"Achieving the Notice of Allowance for our 21st U.S. patent highlights our unwavering commitment to innovation in autonomous vehicle technology," remarked Lior Tal, Chairman and CEO of Cyngn. "In 2023 alone, we secured 16 U.S. patents. This milestone underscores the dedication and expertise of our exceptional technical team."

This announcement builds on broader initiatives by Cyngn to position itself at the forefront of autonomous innovation. In June, the company detailed its NVIDIA-powered Computer Vision Technology, and in April, it announced that its 20th patent also received a notice of allowance.

A Notice of Allowance marks a step forward in the patent application process for this invention. Upon completion, this patent will strengthen Cyngn's intellectual property portfolio.

Cyngn's patent family is comprised of the following published patents:

Number

Patent Number

Title

Publication Date

19

US-11,851,074-B2

SYSTEM AND METHODS OF LARGE-SCALE AUTONOMOUS DRIVING VALIDATION

12/26/2023

18

US-11,837,090-B2

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

12/5/2023

17

US-11,837,089-B2

MODULAR EXTENSIBLE BEHAVIORAL DECISION SYSTEM FOR AUTONOMOUS DRIVING

12/5/2023

16

US-11,767,034-B2

SYSTEM AND METHOD OF COMPUTATION ACCELERATION FOR AUTONOMOUS DRIVING SYSTEMS

9/26/2023

15

US-11,760,368-B2

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

9/19/2023

14

US-11,747,454-B2

GRANULARITY-FLEXIBLE EXISTENCE-BASED OBJECT DETECTION

9/5/2023

13

US-11,745,762-B2

SYSTEM AND METHODS OF ADAPTIVE TRAJECTORY PREDICTION FOR AUTONOMOUS DRIVING

9/5/2023

12

US-11,745,747-B2

SYSTEM AND METHOD OF ADAPTIVE DISTRIBUTION OF AUTONOMOUS DRIVING COMPUTATIONS

9/5/2023

11

US-11,745,750-B2

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

9/5/2023

10

US-11,679,726-B2

VEHICLE SENSOR SYSTEMS

6/20/2023

9

US-11,673,577-B2

SYSTEM AND METHODS OF ADAPTIVE RELEVANCY PREDICTION FOR AUTONOMOUS DRIVING

6/13/2023

8

US-11,668,833-B2

OBSTACLE DETECTION SYSTEMS

6/6/2023

7

US-11,651,583-B2

MULTI-CHANNEL OBJECT MATCHING

5/16/2023

6

US-11,614,527-B2

SELF-ADAPTIVE LIDAR-CAMERA SYNCHRONIZATION SYSTEM

3/28/2023

5

US-11,592,565-B2

FLEXIBLE MULTI-CHANNEL FUSION PERCEPTION

2/28/2023

4

US-11,555,928-B2

THREE-DIMENSIONAL OBJECT DETECTION WITH GROUND REMOVAL INTELLIGENCE

1/17/2023

3

US-11,372,115-B2

VEHICLE LOCALIZATION

6/28/2022

2

US-11,186,234-B2

VEHICLE SENSOR SYSTEMS

11/30/2021

1

US-11,169,271-B2

OBSTACLE DETECTION SYSTEMS

11/9/2021

For a comprehensive view of Cyngn's patents focused on modularity and flexibility of autonomous vehicle systems with multiple sensor modalities and configurations, please visit the USPTO.

About Cyngn

Cyngn develops and deploys scalable, differentiated autonomous vehicle technology for industrial organizations. Cyngn's self-driving solutions allow existing workforces to increase productivity and efficiency. The Company addresses significant challenges facing industrial organizations today, such as labor shortages, costly safety incidents, and increased consumer demand for eCommerce.

Cyngn's DriveMod Kit can be installed on new industrial vehicles at end of line or via retrofit, empowering customers to seamlessly adopt self-driving technology into their operations without high upfront costs or the need to completely replace existing vehicle investments.

Cyngn's flagship product, its Enterprise Autonomy Suite, includes DriveMod (autonomous vehicle system), Cyngn Insight (customer-facing suite of AV fleet management, teleoperation, and analytics tools), and Cyngn Evolve (internal toolkit that enables Cyngn to leverage data from the field for artificial intelligence, simulation, and modeling).

Find Cyngn on:

Investor Contact:
Don Alvarez
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Media Contact:
Luke Renner
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Forward-Looking Statements

This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995, Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. Any statement that is not historical in nature is a forward-looking statement and may be identified by the use of words and phrases such as "expects," "anticipates," "believes," "will," "will likely result," "will continue," "plans to," "potential," "promising," and similar expressions. These statements are based on management's current expectations and beliefs and are subject to a number of risks, uncertainties and assumptions that could cause actual results to differ materially from those described in the forward-looking statements, including the risk factors described from time to time in the Company's reports to the SEC, including, without limitation the risk factors discussed in the Company's annual report on Form 10-K filed with the SEC on March 7, 2024. Readers are cautioned that it is not possible to predict or identify all the risks, uncertainties and other factors that may affect future results No forward-looking statement can be guaranteed, and actual results may differ materially from those projected. Cyngn undertakes no obligation to publicly update any forward-looking statement, whether as a result of new information, future events, or otherwise.

Cyngn Logo (PRNewsfoto/Cyngn)

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