MUMBAI, India, Nov. 14 -- Intellectual Property India has published a patent application (202441035962 A) filed by Nmicps Technology Innovation Hub On Autonomous Navigation Foundation; and Indian Institute Of Technology Hyderabad, Kandi, Telangana, on May 7, 2024, for 'a depth-enhanced neural state system and method for accurate traffic light detection and contextual decision-making in autonomous vehicles.'
Inventor(s) include Prof. Rajalakshmi Pachamuthu; Mr. Kshitiz Kumar; and Dr. Santhosh Reddy.
The application for the patent was published on Nov. 14, under issue no. 46/2025.
According to the abstract released by the Intellectual Property India: "The present invention relates to a depth-enhanced neural state system and method for accurate traffic light detection and contextual decision-making in autonomous vehicles under variable traffic conditions. The system comprises cameras (1) to capture images of the road ahead, but unlike regular cameras, they can also see depth information, creating a 3D picture. Processing unit (2) is a powerful computer that analyzes the images from the cameras. The system senses the 3D data and identifies traffic lights. Neural state machine (3) analyzes the information from the processing unit. Using the information about the traffic light from the system, the control unit can make decisions about stopping, going, or slowing down."
Disclaimer: Curated by HT Syndication.
