Menlo Park, Calif., January 9, 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-11,837,090-B2, for the Company’s autonomous vehicle (AV) and driving solutions. This new patent protects Cyngn’s novel adaptive traffic rule-based decision making for autonomous driving that aims to optimize driving decisions in the presence of multiple rules or constraints imposed on an autonomous vehicle by its environment.
“As our business continues its upward trajectory, the significance of our patents becomes increasingly evident,” said Cyngn’s Chairman and Chief Executive Officer, Lior Tal. “These patents are not just legal safeguards; they are the cornerstone of our growth strategy, ensuring that our innovative ideas remain exclusively ours in a competitive market. In essence, they are the protective armor that fortifies our position in the industry, allowing us to confidently forge ahead in our journey of expansion and success."
Cyngn provides its customers a seamless way to adopt self-driving technology into their operations without high upfront costs or the need to completely replace existing vehicle investments.
Cyngn’s patent family is comprised of the following granted patents:
|
Patent Number |
Title |
Publication Date |
|
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 |
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.