drivebuddyAI, a leading provider of AI-powered Advanced Driver Assistance Systems (ADAS) and Driver Monitoring Systems (DMS), has been granted an Indian patent for its invention “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 that improves the accuracy and reliability of critical ADAS functions while reducing false alerts across diverse real-world driving environments.
As ADAS adoption continues to grow globally, an accurate understanding of the vehicle’s drivable corridor remains essential for safety features such as lane departure warnings, forward collision warnings, headway monitoring, and driver assistance interventions. However, conventional systems are often affected by variations in camera installation, vehicle architecture, road geometry, environmental conditions, and sensor alignment, resulting in inaccurate estimations and inconsistent performance.
drivebuddyAI’s patented technology addresses these challenges through a self-calibrating framework that automatically optimises lane calculations during new installations, software updates, and system reboots, ensuring reliable performance without manual intervention. The new patent covers several innovations, including:
● AI-driven frame validation that selects high-confidence video frames for lane ROI computation.
● Vehicle-specific lane adaptation based on vehicle type and configuration.
● Dual-camera architecture integrating road-facing ADAS with Driver Monitoring Systems (DMS).
● Real-time safety alerts supporting lane departure warning, collision avoidance, and steering assistance.
● Compatibility with Level 2 and Level 3 autonomous driving applications, including Autonomous Emergency Braking (AEB) and advanced path planning.
Unlike conventional approaches that rely on static calibration settings, drivebuddyAI’s technology continuously validates and optimises lane ROI using real-world driving data, enabling robust performance across inconsistent lane markings, changing road conditions, 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, adverse weather conditions, and complex mixed-traffic scenarios. This extensive dataset enables reliable lane perception in situations where traditional systems frequently underperform.
Commenting on the patent grant, Nisarg Pandya, Founder & 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 valuable for commercial fleets and OEMs operating across diverse geographies and vehicle platforms. By automating lane calibration and enabling continuous optimisation through cloud connectivity and over-the-air (OTA) updates, the solution simplifies deployment, reduces maintenance requirements, and ensures consistent ADAS performance throughout the vehicle lifecycle.
This latest grant further strengthens drivebuddyAI’s growing intellectual property portfolio, which now includes more than 15 patents spanning ADAS, DMS, AI perception, driver risk assessment, driver recognition, real-time safety systems, and intelligent mobility technologies. As the automotive industry transitions toward connected, software-defined, and increasingly autonomous vehicles, drivebuddyAI continues to advance AI-driven safety innovations that make mobility safer, smarter, and more reliable.
Power Drive 