MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202621048764 A) filed by Ramdeobaba University, Nagpur; Shri Ramdeobaba College Of Engineering And Management, Nagpur; Thorat, Namrata; Shrivas, Shreya; and Joshi, Poorvi K. on April 16, 2026, for A System For Blind Spot Detection And Collision Risk Prediction For A Heavy Vehicle.
Inventors include Thorat, Namrata; Shrivas, Shreya; and Joshi, Poorvi K..
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The present invention relates to a system (100) and method (500) for blind spot detection and collision risk prediction for a heavy vehicle. The system (100) includes a plurality of sensors (110) that monitor the blind spots and detect road occupants within the blind spots and in surroundings of the heavy vehicle. The system (100) processes the data from the sensors through an object detection and classification module (130) to identify and categorize road occupants. Further, the system (100) includes a motion estimation and fusion module (140) which calculates the occupant's distance, velocity, trajectory, and time to collision and using the data, a collision and risk prediction engine (150) generates a risk score and provides operational speed recommendations to the driver using a driver alert interface (170). The system (100) updates the operational speed recommendations and alerts based on real-time data, improving decision-making and minimizing collision risks.
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