Intellectual Property India Publishes Patent Application for 'Hybrid Lane Detection System Using Computer Vision And Deep Learning' Filed by Vellore Institute Of Technology

MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541122162 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on Dec. 4, 2025, for 'hybrid lane detection system using computer vision and deep learning.'

Inventor(s) include Dr. Suganthini. C; Mr. Fareed Durgam; Mr. Aneesh Ponnaganti; and Mr. Sreeram Mukku.

The application for the patent was published on Jan. 2, under issue no. 01/2026.

According to the abstract released by the Intellectual Property India: "The present disclosure provides a hybrid lane detection system for autonomous vehicle navigation comprising a preprocessing module configured to receive video frames from a vehicle-mounted camera and process each frame for lane detection analysis, a classical computer vision module configured to detect lane boundaries using geometric analysis techniques, a deep learning module comprising a semantic segmentation network configured to generate pixel-level lane region identification and a contextual analysis network configured to assess lane presence and provide confidence scoring, a temporal smoothing module configured to maintain consistency across consecutive frames, and a fusion module configured to combine outputs to generate unified lane detection results. The preprocessing module converts frames to grayscale, applies Gaussian blur filtering, performs Canny edge detection, and applies trapezoidal region-of-interest masking. The classical computer vision module applies Hough Line Transform to detect linear segments. The deep learning module includes SegNet architecture."

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