Menlo Park, Calif., December 7, 2023 – 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-11,837,089-B2, for the Company’s autonomous vehicle (AV) and driving solutions. This new patent protects Cyngn’s novel modular extensible behavioral decision system for autonomous driving that aims to incorporate elements of the environment such as regions of interest and objects to inform a series of decisions made by the autonomous vehicle.
“In navigating the dynamic currents of our evolving industry, we are committed to building out a robust patent portfolio to protect our intellectual property,” said Chairman and Chief Executive Officer, Lior Tal. “These novel inventions help to set us apart by enabling automation solutions with unique value propositions to our customers.”
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 granting of four additional patents for the Company’s proprietary technology around vehicle sensors, obstacle detection systems, autonomous driving predictions, and multi-channel object matching and issuance.
Cyngn’s patent family is comprised of the following granted patents:
|
Patent Number |
Title |
Publication Date |
|
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 |
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.