Cyngn Obtains Patent for Autonomous Industrial Vehicle Technologies

Cyngn said its six patents granted since August brings its U.S. total to 16.


Cyngn has obtained patents for more of its technologies for self-driving industrial systems.
Cyngn said its new application uses protection and method of computation acceleration for self-driving systems.

Cyngn Inc. today said it has received a patent from the U.S. Patent and Trademark Office covering its systems for self-driving industrial vehicles. The new patent, US-11767034-B2, protects the system and method of computation acceleration for autonomous driving systems.

“Cyngn is committed to strategically safeguarding our intellectual property by growing our patent portfolio,” said Lior Tal, CEO of Cyngn, in a release. “These patents will play a pivotal role in our mission to deliver exceptional products. The recent addition of Cyngn's newest patent underscores our dedication to pioneering autonomous technology with an unwavering focus on safety and scalability.”

Menlo Park, Calif.-based Cyngn said its autonomous vehicle (AV) technologies address current industry challenges, including labor shortages, costly safety incidents, and increased consumer demand for e-commerce.

Patent portfolio grows

Since August, Cyngn said it has announced six additional protections of its proprietary technology. Common themes of the patents include flexible vehicle sensor systems, multi-channel sensing and obstacle detection, computation acceleration, and adaptive systems that use real-world and simulated data, it noted.

The company said its latest U.S. patents bring its total to 16, “further solidifying its position as a leader in the autonomous industrial sector.”

Cyngn listed the following granted patents in its portolfio:

Cyngn patent family
Patent number Title Publication date


System and Method of Computational Acceleration of Autonomous Driving Systems9/26/2023


System and Method of Same-Loop Adaptive Simulation for Autonomous Driving9/19/2023
US-11,747,454Granularity-Flexible Existence-Based Object Detection9/5/22023
US-11,745,762System and Methods of Adaptive Trajectory Prediction for Autonomous Driving9/5/2023
US-11,745,747System and Method of Adaptive Distribution of Autonomous Driving Computations9/5/2023
US-11,745,750System and Method of Large-Scale Automatic Grading in Autonomous Driving Using a Domain-Specific Language9/5/2023
US-11,679,726Vehicle Sensor Systems6/20/2023


System and Methods of Adaptive Relevancy Prediction for Autonomous Driving6/13/2023
US-11,668,833Obstacle-Detection Systems6/6/2023
US-11,651,583Mult—Channel Object Matching5/16/2023
US-11,614,527Self-Adaptive Lidar-Camera Synchronization System3/28/2023
US-11,592,565Flexible Multi-Channel Fusion Perception2/28/2023
US-11,555,928Three-Dimensional Object Detection With Ground Removal Intelligence1/17/2023
US-11,372,115Vehicle Localization6/28/2022
US-11,186,234Vehicle Sensor Systems11/30/2021
US-11,169,271Obstacle-Detection Systems11/9/2021

Cyngn obtains 16 patents

Cyngn has obtained 16 patents. Source: Cyngn

Cyngn develops modular AV technologies

Cyngn added that its patents are focused on modularity and flexibility of AV systems with multiple sensor modalities and configurations. It said more information is available at the U.S. Patent and Trademark Office (USPTO).

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

Its Enterprise Autonomy Suite includes the DriveMod stockchaser system and the Cyngn Insight customer-facing suite of fleet management, teleoperation, and analytics tools. It also includes the Cyngn Evolve internal toolkit that allows the company to use data from the field for artificial intelligence, simulation, and modeling.

Last week, Cyngn launched a consultancy to help companies such as Arauco adopt and deploy mobile robots.

Editor's note: Ben Landen, vice president of business development at Cyngn, will be participating in tomorrow's Robotics Applications Conference panel on how automated lift trucks are bringing intelligence to pallet handling. Register now for this free session, and view it tomorrow or on demand later.

Abhinav Kunapareddy, the technical lead manager of the Motion Planning team at Cyngn, discusses how Cyngn developed the autonomous forklift.

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Cyngn has obtained patents for more of its technologies for self-driving industrial systems.

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