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Cyngn Secures its 22nd U.S. Patent: for its AI-Powered Autonomous Vehicle Technologies

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Cyngn (Nasdaq: CYN) has been granted its 22nd U.S. patent (12,246,733) for innovative autonomous vehicle technology. The latest patent introduces a cloud-based approach to autonomous vehicle operation, enabling computing tasks to be distributed between vehicles and cloud servers.

This breakthrough allows for lighter, more cost-effective autonomous vehicles while maintaining sophisticated driving capabilities. The system transmits sensor data to cloud servers for processing functions like environment mapping, decision-making, and route planning, with driving commands sent back for execution.

The company has secured twelve additional patents since August 2023, demonstrating significant growth in its intellectual property portfolio. The patent also includes fleet management functionality for coordinating multiple autonomous vehicles through centralized cloud infrastructure.

Cyngn (Nasdaq: CYN) ha ricevuto il suo 22° brevetto statunitense (12,246,733) per una tecnologia innovativa di veicoli autonomi. L'ultimo brevetto introduce un approccio basato sul cloud per il funzionamento dei veicoli autonomi, consentendo la distribuzione dei compiti di calcolo tra veicoli e server cloud.

Questa innovazione permette di avere veicoli autonomi più leggeri e convenienti, mantenendo al contempo capacità di guida sofisticate. Il sistema trasmette i dati dei sensori ai server cloud per funzioni di elaborazione come la mappatura dell'ambiente, il processo decisionale e la pianificazione dei percorsi, con i comandi di guida inviati per l'esecuzione.

L'azienda ha ottenuto dodici brevetti aggiuntivi da agosto 2023, dimostrando una crescita significativa nel suo portafoglio di proprietà intellettuale. Il brevetto include anche funzionalità di gestione della flotta per coordinare più veicoli autonomi attraverso un'infrastruttura cloud centralizzata.

Cyngn (Nasdaq: CYN) ha sido otorgada su 22º patente en EE.UU. (12,246,733) por tecnología innovadora de vehículos autónomos. La última patente introduce un enfoque basado en la nube para la operación de vehículos autónomos, permitiendo que las tareas de computación se distribuyan entre vehículos y servidores en la nube.

Este avance permite vehículos autónomos más ligeros y rentables, manteniendo capacidades de conducción sofisticadas. El sistema transmite datos de sensores a servidores en la nube para funciones de procesamiento como mapeo del entorno, toma de decisiones y planificación de rutas, con comandos de conducción enviados de regreso para su ejecución.

La empresa ha asegurado doce patentes adicionales desde agosto de 2023, demostrando un crecimiento significativo en su cartera de propiedad intelectual. La patente también incluye funcionalidad de gestión de flotas para coordinar múltiples vehículos autónomos a través de una infraestructura en la nube centralizada.

Cyngn (Nasdaq: CYN)는 혁신적인 자율주행 차량 기술에 대해 22번째 미국 특허(12,246,733)를 부여받았습니다. 최신 특허는 자율주행 차량 운영을 위한 클라우드 기반 접근법을 도입하여 차량과 클라우드 서버 간에 컴퓨팅 작업을 분산할 수 있게 합니다.

이 혁신은 정교한 주행 능력을 유지하면서도 더 가볍고 비용 효율적인 자율주행 차량을 가능하게 합니다. 시스템은 센서 데이터를 클라우드 서버로 전송하여 환경 매핑, 의사 결정 및 경로 계획과 같은 처리 기능을 수행하며, 주행 명령은 실행을 위해 다시 전송됩니다.

회사는 2023년 8월 이후로 12개의 추가 특허를 확보하여 지적 재산 포트폴리오의 상당한 성장을 보여주고 있습니다. 이 특허는 중앙 집중식 클라우드 인프라를 통해 여러 자율주행 차량을 조정하기 위한 플릿 관리 기능도 포함하고 있습니다.

Cyngn (Nasdaq: CYN) a obtenu son 22ème brevet américain (12,246,733) pour une technologie innovante de véhicules autonomes. Le dernier brevet introduit une approche basée sur le cloud pour l'exploitation des véhicules autonomes, permettant de distribuer les tâches de calcul entre véhicules et serveurs cloud.

Cette avancée permet d'avoir des véhicules autonomes plus légers et plus rentables tout en maintenant des capacités de conduite sophistiquées. Le système transmet les données des capteurs aux serveurs cloud pour des fonctions de traitement telles que la cartographie de l'environnement, la prise de décision et la planification d'itinéraires, avec des commandes de conduite renvoyées pour exécution.

L'entreprise a sécurisé douze brevets supplémentaires depuis août 2023, démontrant une croissance significative de son portefeuille de propriété intellectuelle. Le brevet inclut également des fonctionnalités de gestion de flotte pour coordonner plusieurs véhicules autonomes via une infrastructure cloud centralisée.

Cyngn (Nasdaq: CYN) hat sein 22. US-Patent (12,246,733) für innovative Technologien im Bereich autonomer Fahrzeuge erhalten. Das neueste Patent führt einen cloud-basierten Ansatz für den Betrieb autonomer Fahrzeuge ein, der es ermöglicht, Rechenaufgaben zwischen Fahrzeugen und Cloud-Servern zu verteilen.

Dieser Durchbruch ermöglicht leichtere, kosteneffizientere autonome Fahrzeuge und bewahrt gleichzeitig anspruchsvolle Fahrfähigkeiten. Das System überträgt Sensordaten an Cloud-Server zur Verarbeitung von Funktionen wie Umweltkartierung, Entscheidungsfindung und Routenplanung, wobei Fahrbefehle zur Ausführung zurückgesendet werden.

Das Unternehmen hat seit August 2023 zwölf zusätzliche Patente gesichert, was ein signifikantes Wachstum seines geistigen Eigentumsportfolios zeigt. Das Patent umfasst auch Funktionen zur Flottenverwaltung, um mehrere autonome Fahrzeuge über eine zentralisierte Cloud-Infrastruktur zu koordinieren.

Positive
  • Secured 12 new patents in less than 8 months, showing strong R&D momentum
  • New cloud-based technology reduces hardware costs for autonomous vehicles
  • Patent includes fleet management capabilities for multiple vehicle coordination
  • Technology enables more cost-effective implementation for customers
Negative
  • None.

Insights

Cyngn's new patent (12,246,733) represents a significant technological advancement in autonomous vehicle architecture that could translate to tangible competitive advantages. The cloud-based approach fundamentally transforms the traditional autonomous vehicle computing model by offloading complex processing tasks to remote servers, which addresses two critical industry challenges simultaneously.

First, by distributing computing between vehicle and cloud, Cyngn can potentially reduce manufacturing costs substantially as vehicles require less expensive onboard hardware. This directly impacts their business model which emphasizes solutions "without high upfront costs." Second, the cloud infrastructure enables more sophisticated algorithms that would be impractical to run on vehicle-based systems alone.

The patent's inclusion of fleet management functionality is particularly valuable for material handling applications where coordinating multiple autonomous vehicles efficiently is essential. This patent doesn't exist in isolation—it's part of a rapidly expanding intellectual property portfolio that has nearly doubled in less than two years (from 12 to 22 patents since August 2023).

While patents don't guarantee commercial success, they provide crucial protection for Cyngn's technology investments. The methodical expansion of their patent portfolio demonstrates a strategic approach to intellectual property development focused specifically on modularity and operational flexibility—critical factors for market adoption in industrial automation environments.

Since August 2023, Cyngn has been granted twelve additional patents, bringing the total U.S. patents granted to 22.

MENLO PARK, Calif., April 3, 2025 /PRNewswire/ -- Cyngn Inc. (the "Company" or "Cyngn") (Nasdaq: CYN) announced the official granting of a new patent, 12,246,733, for the Company's innovative autonomous vehicle (AV) solutions.

The patent, System and Methods of Off-Board Centric Autonomous Driving Computation, introduces a cloud-based approach to autonomous vehicle operation, distributing computing tasks between the vehicle and the cloud to significantly reduce onboard hardware requirements. Vehicles transmit sensor data to cloud servers, where functions like environment mapping, decision-making, and route planning are processed before driving commands are sent back for execution. This allows the vehicle to prioritize safety-critical and time-sensitive functions.

The significance of this patent lies in its ability to enable lighter, more cost-effective autonomous vehicles while enabling sophisticated driving algorithms. Furthermore, the patent includes fleet management functionality, facilitating seamless coordination of multiple autonomous vehicles through a centralized cloud infrastructure.

"Since August 2023, we've been granted twelve additional patents, bringing our total to 22 U.S. patents," said Lior Tal, CEO of Cyngn. "This milestone reflects our ongoing commitment to driving innovation and advancing autonomous technology, as we continue to build out a robust patent portfolio to protect our intellectual property. Each new patent represents the hard work of our team and our dedication to developing real-world solutions that are transforming material handling."

The grant of this patent marks a significant milestone in Cyngn's intellectual property strategy, further bolstering its position in the AV industry. This success follows Cyngn's recent patent issuance announcement of its 21st patent.

Cyngn provides its customers a seamless way to adopt self-driving technology into their operations without high upfront costs.

Previous patents include:


Patent Number

Title

Publication Date

22.

US-12,246,733-B2

SYSTEM AND METHOD OF OFF-BOARD CENTRIC AUTONOMOUS DRIVING COMPUTATION

3/11/2025

21.

US-12,039,867-B2

ADAPTIVE OBJECT-BASED DECISION MAKING SYSTEM

7/16/2024

20.

US-12,032,099-B2

ADAPTIVE MOTION COMPENSATION OF PERCEPTION CHANNELS

7/09/2024

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). For all terms referenced within, please refer to the Company's annual report on Form 10-K with the SEC filed on March 6, 2025.

Where to find Cyngn:

Investor Contact:
Donald Alvarez, CFO
investors@cyngn.com 

Media Contact:
Luke Renner, Head of Marketing
media@cyngn.com 

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 Securities and Exchange Commission (SEC), including, without limitation the risk factors discussed in the Company's annual report on Form 10-K filed with the SEC on March 6, 2025. 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.

This new patent of System and Methods of Off-Board Centric Autonomous Driving Computation enables autonomous vehicles to  operate with reduced onboard computing hardware by offloading heavy computing tasks to the cloud. The vehicles send sensor data to cloud servers, which handle complex tasks like environment mapping, decision-making, and route planning. The cloud then sends back driving commands to the vehicle for execution, which allows the vehicle to focus on safety-critical and time-sensitive functions.

The significance in this patent lies in the fact that it allows for lighter, more cost-effective autonomous vehicles while enabling more sophisticated and safer driving algorithms. Moreover, the patent also supports fleet management capabilities, allowing multiple vehicles to be coordinated through the same cloud infrastructure.

 

Cision View original content to download multimedia:https://www.prnewswire.com/news-releases/cyngn-secures-its-22nd-us-patent-for-its-ai-powered-autonomous-vehicle-technologies-302419421.html

SOURCE Cyngn

FAQ

What is the significance of Cyngn's 22nd patent for autonomous vehicles?

The patent enables cloud-based autonomous vehicle operation, reducing onboard hardware requirements while maintaining sophisticated driving capabilities through distributed computing between vehicles and cloud servers.

How many patents has Cyngn (CYN) acquired since August 2023?

Cyngn has been granted twelve additional patents since August 2023, bringing their total U.S. patent count to 22.

What are the key features of Cyngn's latest patent (12,246,733)?

The patent features cloud-based autonomous vehicle operation, distributed computing, fleet management functionality, and enables lighter, more cost-effective autonomous vehicles.

How does Cyngn's new patent reduce autonomous vehicle costs?

By moving computing tasks to cloud servers, the patent reduces onboard hardware requirements, resulting in lighter and more cost-effective autonomous vehicles.
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