MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641072785 A) filed by Dr. Prerana Chaithra; Dr. G. Meenakshi Sundaram; Ms. Namitha K. Y.; Dayananda Sagar Academy Of Technology And Management; Mrs. Sushma R.; Dr. R. Gurunadham; Dr. Pathan Ahmed Khan; Prof. Vishal Gotarane; Dr. Aditya Prasad Padhy; and Dr. Prabhakar M. on June 12, 2026, for Ai-Driven Collision Avoidance System For Smart Vehicles With Adaptive Risk Prediction And Real- Time Maneuver Control.

Inventors include Dr. Prerana Chaithra; Dr. G. Meenakshi Sundaram; Ms. Namitha K. Y.; Mrs. Sushma R.; Dr. R. Gurunadham; Dr. Pathan Ahmed Khan; Prof. Vishal Gotarane; Dr. Aditya Prasad Padhy; and Dr. Prabhakar M..

The application for the patent was published on June 19, 2026, under issue no. 25/2026.

Abstract: [069] The present invention discloses an AI-driven collision avoidance system for smart vehicles with adaptive risk prediction and real-time maneuver control. The system includes a sensor interface unit, perception and fusion unit, AI-based trajectory prediction unit, adaptive collision risk assessment unit, dynamic safety envelope unit, maneuver decision unit, actuator interface unit, vehicle communication unit, driver alert unit, data logging unit, and fail-safe supervisory unit. The system receives multi-sensor data from cameras, radar, lidar, ultrasonic sensors, inertial sensors, vehicle state sensors, and cooperative communication sources to generate a unified environmental model around the vehicle. Detected objects are classified and their future trajectories are predicted using an AI model. A real-time collision risk score is generated based on predicted time-to-collision, relative motion, road condition, visibility, sensor confidence, vehicle dynamics, and driver response profile. A dynamic safety envelope is generated around the vehicle and modified according to speed, traffic density, road curvature, weather, tyre grip, and maneuver space. When a collision risk is detected, the system selects and executes a suitable avoidance action including warning, controlled braking, steering assistance, acceleration limitation, emergency braking, or cooperative hazard communication. The invention improves collision avoidance reliability in urban, highway, rural, mixed-traffic, and low- visibility driving environments. Accompanied Drawing [FIGS. 1-2]

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