Cyngn Inc. (the “Company” or “Cyngn”) (Nasdaq: CYN), a developer of AI-powered autonomous driving solutions for industrial applications, today released the details of its growing patent family, consisting of patents granted by the United States Patent and Trademark Office (USPTO) for autonomous vehicle technologies.
“We are pleased to share that the USPTO recently granted us four additional patents, highlighting our novel software-centric methods for developing flexible applied autonomy, which is critical for the rapid deployment of industrial vehicle applications,” said Lior Tal, Chief Executive Officer of Cyngn. “Patent protection is an important consideration as we build a foundation of differentiated technology that aims to deliver unique competitive advantages to our customers through their adoption of DriveMod-enabled autonomous vehicles .”
In July, the Company announced a partnership with Motrec to launch a fleet of AI-Powered Autonomous Tuggers. Due in part to Cyngn’s suite of inventions that contribute to streamlined AV systems like the DriveMod Kit, the Company has been able to accelerate the deployment of Cyngn’s AV technology to this vehicle type.
Cyngn’s patent family is comprised of the following granted patents:
|
Patent Number |
Title |
Publication Date |
|
US-11,679,726 |
VEHICLE SENSOR SYSTEMS |
6/20/2023 |
|
US-11,673,577 |
SYSTEM AND METHODS OF ADAPTIVE RELEVANCY PREDICTION FOR AUTONOMOUS DRIVING |
6/13/2023 |
|
US-11,668,833 |
OBSTACLE DETECTION SYSTEMS |
6/6/2023 |
|
US-11,651,583 |
MULTI-CHANNEL OBJECT MATCHING |
5/16/2023 |
|
US-11,614,527 |
SELF-ADAPTIVE LIDAR-CAMERA SYNCHRONIZATION SYSTEM |
3/28/2023 |
|
US-11,592,565 |
FLEXIBLE MULTI-CHANNEL FUSION PERCEPTION |
2/28/2023 |
|
US-11,555,928 |
THREE-DIMENSIONAL OBJECT DETECTION WITH GROUND REMOVAL INTELLIGENCE |
1/17/2023 |
|
US-11,372,115 |
VEHICLE LOCALIZATION |
6/28/2022 |
|
US-11,186,234 |
VEHICLE SENSOR SYSTEMS |
11/30/2021 |
|
US-11,169,271 |
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.
