drivebuddyAI, a provider of AI-powered Advanced Driver Assistance Systems and Driver Monitoring Systems, has been granted an Indian patent for its invention titled “A Real-Time Automotive Assistance System and Method for Lane ROI Detection in Vehicle.” The patented technology introduces an intelligent, automated framework for lane detection designed to improve the accuracy and reliability of critical ADAS functions while reducing false alerts across diverse real-world driving conditions.
As ADAS adoption continues to grow globally, accurately understanding a vehicle’s drivable corridor remains essential for safety features such as lane departure warnings, forward collision warnings, and driver assistance interventions. Conventional systems, however, are often affected by variations in camera installation, vehicle architecture, road geometry, and sensor alignment, leading to inconsistent performance. drivebuddyAI’s patented technology addresses this through a self-calibrating framework that automatically optimises lane calculations during new installations, software updates, and system reboots — without requiring manual intervention.
The patent covers several innovations, including AI-driven frame validation that selects high-confidence video frames for lane computation, vehicle-specific lane adaptation based on vehicle type and configuration, a dual-camera architecture integrating road-facing ADAS with Driver Monitoring Systems, and real-time safety alerts supporting lane departure warning, collision avoidance, and steering assistance. The technology is also compatible with Level 2 and Level 3 autonomous driving applications, including Autonomous Emergency Braking and advanced path planning. Unlike conventional static calibration approaches, the system continuously validates and optimises lane detection using real-world driving data, enabling robust performance across inconsistent lane markings, adverse weather, and diverse vehicle platforms. The technology has been trained and validated on over 6.4 billion kilometres of real-world driving data spanning highways, urban roads, rural routes, low-light environments, and complex mixed-traffic scenarios.
Mr. Nisarg Pandya, Founder and CEO, drivebuddyAI, said, “The effectiveness of any ADAS system depends on how accurately it understands the drivable space around the vehicle. This patent is a significant step towards self-calibrating ADAS systems that deliver more reliable safety alerts with minimal manual intervention.”
The technology is particularly relevant for commercial fleets and OEMs operating across diverse geographies and vehicle platforms, as automated calibration and continuous optimisation through cloud connectivity and over-the-air updates simplify deployment and reduce maintenance requirements throughout the vehicle lifecycle. This latest patent grant adds to drivebuddyAI’s growing intellectual property portfolio, which now spans more than 15 patents covering ADAS, DMS, AI perception, driver risk assessment, and intelligent mobility technologies, as the company continues to advance AI-driven safety innovations for an increasingly connected and autonomous automotive industry.