Guident
Guident’s Remote Monitoring & Control Center, in Boca Raton, Florida. The company received additional patents from the U.S. and Europe.
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Guident
Guident’s Remote Monitoring & Control Center, in Boca Raton, Florida. The company received additional patents from the U.S. and Europe.
Boca-Raton, Fla. based autonomous vehicle (AV) teleoperation company Guident announced it has received additional intellectual property protection for its remote monitoring & control center.
In addition, Guident also received a Notice of Allowance from the United States Patent and Trademark Office for its U.S. Patent Application No. 17/579,203, entitled Near Real-Time Data and Video Streaming System for a Vehicle, Robot or Drone.
The allowed U.S. patent application is directed to methods and systems for using a remote monitoring control device to receive video and image data from and communicate with collection devices of AVs, robots, or drones (such as camera sensors) to improve the safety of their operation.
Guident has successfully validated its European Patent Grant No. 4097550, entitled Artificial Intelligence Method and Apparatus for Remote Monitoring and Control of Autonomous Vehicles, and has obtained patent protection in 20 European countries, including: Austria, Belgium, Bulgaria, Denmark, Estonia, Finland, France, Germany, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Portugal, Romania, Slovenia, Sweden, the United Kingdom and Norway.
“We believe our successful validation of European Patent Grant No. 4097550 across 20 countries marks a significant milestone in advancing Guident’s mission to enhance the safety of autonomous vehicles through innovative AI and sensor fusion technology of our remote monitoring and control IP portfolio,” said Harald Braun, executive chairman of Guident.
The validated European patent is directed to an AV remote monitoring and control center (RMCC) employing distributed sensor fusion and artificial intelligence techniques that is configured to receive sensor data across multiple independently governed autonomous vehicles, including sensor data from vehicles not operating under RMCC control, determine incident risk levels, implement safety measures and take control of one or more of the autonomous vehicles when operating at an unsafe incident risk level, and return control when the risk level is safe.
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