Intellectual Property India Publishes Patent Application for Latency-Aware Edge-Iot Architecture For Real-Time Machine Learning Inference And Autonomous Vehicle Navigation

MUMBAI, India, Sept. 7 -- Intellectual Property India has published a patent application (202641104694 A) filed by Mrs G Rosalin Muskil; Dr. Mishmala Sushith; Mrs. Keerthana. B; Mrs. Skb. Rathika; Ms. A. Poornima; Ms. S. R. Bratheesha; Dr. Ankur Kumar Meena; Ms. P. Dhivya; Ms Bharathy Gnanam G; Ms. H. Sowmya; Dr M. Supriya; and Ms Subitha V on August 31, 2026, for Latency-Aware Edge-Iot Architecture For Real-Time Machine Learning Inference And Autonomous Vehicle Navigation.

Inventors include Mrs G Rosalin Muskil; Dr. Mishmala Sushith; Mrs. Keerthana. B; Mrs. Skb. Rathika; Ms. A. Poornima; Ms. S. R. Bratheesha; Dr. Ankur Kumar Meena; Ms. P. Dhivya; Ms Bharathy Gnanam G; Ms. H. Sowmya; Dr M. Supriya; and Ms Subitha V.

The application for the patent was published on September 04, 2026, under issue no. 36/2026.

Abstract: Latency-Aware Edge-IoT Architecture for Real-Time Machine Learning Inference and Autonomous Vehicle Navigation is disclosed for enabling low-latency intelligent processing in autonomous vehicles. The architecture comprises vehicle-mounted sensors, an onboard computing unit, one or more edge nodes, a latency monitoring module, an edge-resource monitoring module, a machine learning inference engine, and an inference orchestration module. Sensor data generated by the autonomous vehicle is analyzed according to task priority, network latency, computational requirements, edge-node workload, and available resources. The inference orchestration module dynamically selects an appropriate processing location from the vehicle, an edge node, or a cloud platform. Safety-critical tasks are preferentially processed using low-latency computing resources, while non-critical tasks may be transferred to remote edge or cloud resources. The resulting machine learning outputs are provided to the navigation and vehicle control modules for real-time decision-making. The proposed invention improves responsiveness, resource utilization, and reliability of autonomous vehicle navigation through adaptive latency-aware Edge-IoT processing.

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