Cyngn Inc. has been granted a new patent, US Patent No. 12,032,099, which introduces a method to maintain the accuracy of data collected by an autonomous vehicle’s sensors as the vehicle moves.
At its core, the patent optimizes sensor data processing by integrating advanced lidar and image technologies. By initially capturing comprehensive environmental data, the system then calculates and adjusts for any time delay between data acquisition and processing. Crucially, it dynamically generates a motion model based on real-time sensor movements across multiple axes, ensuring precise predictions of future positions.
The significance of this patent lies in its ability to significantly enhance the reliability and precision of sensor data in autonomous vehicles and robotics by effectively compensating for motion during data processing, according to the company. It says this capability enables these systems to operate with utmost accuracy in dynamic environments, ultimately enhancing safety, efficiency and empowering better-informed decisions based on precise environmental data.
“The granting of our 20th US patent underscores Cyngn’s ongoing commitment to advancing autonomous vehicle technologies,” said Lior Tal, chairman and CEO of Cyngn. “Following the 16 US patents granted in 2023, this achievement reflects our team’s commitment to building out a robust patent portfolio to protect our intellectual property.”