Cyngn Inc., a developer of autonomous vehicle technology based in Menlo Park, California, recently announced the granting of its 20th U.S. patent. This new patent introduces an innovative method for maintaining the accuracy of sensor data collected by autonomous vehicles as they move, signifying a step forward in the precise and reliable operation of AV systems. The company is known for its continuous efforts in advancing self-driving technology to enhance operational efficiency and safety.
Cyngn has a history of filing patents related to autonomous vehicle technologies, with significant activity ramping up in recent years. Its previous patents have addressed various challenges, such as obstacle detection and vehicle localization. The company’s ongoing patent filings reflect a strategic focus on enhancing the precision and reliability of sensor data, essential for safe and efficient autonomous vehicle operation. This latest patent aims to optimize sensor data processing by integrating advanced lidar and imaging technologies, adjusting for time delays, and generating real-time motion models.
Innovative Sensor Data Processing
The newly granted patent, U.S. Patent No. 12,032,099, enhances the accuracy of data collected by autonomous vehicle sensors. By integrating lidar and imaging technologies, the system captures comprehensive environmental data and adjusts for any time delays between acquisition and processing. This dynamic approach ensures precise predictions of future positions, which is crucial for the reliable operation of AV systems.
“The granting of our 20th U.S. patent underscores Cyngn’s ongoing commitment to advancing autonomous vehicle technologies,” stated Lior Tal, chairman and CEO of Cyngn. “Following the 16 U.S. patents granted in 2023, this achievement reflects our team’s commitment to building out a robust patent portfolio to protect our intellectual property.”
Enhancing Reliability and Precision
Cyngn claims that this patent significantly enhances the reliability and precision of sensor data in autonomous vehicles and mobile robots. The system compensates for motion during data processing, allowing these systems to operate accurately in dynamic environments. According to Cyngn, this capability ultimately improves safety and efficiency by enabling better-informed decisions based on precise environmental data.
Cyngn’s earliest patents, filed in 2021, focused on obstacle detection and vehicle sensor systems. In 2022, the company secured a patent for its vehicle localization system. A notable increase in patent activity occurred in 2023, with Cyngn filing 16 patents, covering innovations such as three-dimensional object detection, adaptive lidar-camera synchronization, and flexible multi-channel fusion perception. This latest patent marks Cyngn’s first for the current year, further solidifying its position in the AV industry.
Cyngn specializes in developing scalable AV technology for industrial use. Its flagship product, the Enterprise Autonomy Suite, includes the DriveMod Kit for retrofitting existing vehicles and the Cyngn Insight suite for AV fleet management. The company aims to provide customers with cost-effective solutions for adopting self-driving technology without needing to replace existing vehicle investments. Cyngn’s commitment to enhancing sensor data accuracy is a significant step towards improving the overall safety and efficiency of autonomous vehicles.
