MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049822 A) filed by Karthi Nallasivam; Mr. S. Malaravan; Mr. P. Balaji; Ms. J. Swathi; Mr. M. Michael Jones; Mr. R. Sambasivam; Mr. M. Anand; Mrs. P. Kalaiselvi; Mr. S. Mohamed Abupakkar Siddique; and Mr. P. Gokul, Erode, Tamil Nadu, on April 19, for 'ai driven autonomous vehicle.'

Inventor(s) include Karthi Nallasivam; Mr. P. Balaji; Ms. J. Swathi; Mr. M. Michael Jones; Mr. R. Sambasivam; Mr. M. Anand; Mrs. P. Kalaiselvi; Mr. S. Mohamed Abupakkar Siddique; Mr. P. Gokul; and Mr. S. Malaravan.

The application for the patent was published on May 1, under issue no. 18/2026.

According to the abstract released by the Intellectual Property India: "An AI-Driven Autonomous Vehicle is an intelligent robotic system designed to operate with minimal human intervention by using advanced technologies such as Artificial Intelligence, Machine Learning, and embedded systems. It enables the vehicle to perceive its environment, process real-time data, and make informed decisions for navigation and movement. Using integrated components such as sensors, wireless communication modules, and intelligent control algorithms, the system can detect obstacles, monitor surroundings, and execute appropriate actions like stopping, turning, or rerouting. This enhances safety, efficiency, and reliability in autonomous operations. The system also allows interaction through mobile devices, enabling both manual control and automated functionality. Unlike traditional robotic vehicles that rely on fixed commands and continuous human control, an AI-driven autonomous vehicle can adapt to changing environments, respond dynamically to obstacles, and improve its performance through learning and data processing. This capability makes the system more flexible, efficient, and suitable for real-world applications. The proposed system improves user convenience by enabling real-time decision-making, automation, and intelligent navigation. It has wide applications in areas such as smart transportation, surveillance, industrial automation, and robotic research, making human-machine interaction more advanced, efficient, and autonomous."

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