Genesys International has strengthened its position in India’s geospatial and navigation mapping ecosystem through the development of the country’s first large-scale High-Definition maps designed specifically for ADAS-enabled vehicles. The initiative is part of the company’s New India Map stack, which focuses on advanced navigation maps, digital twins, and high-precision 3D mapping solutions for automotive and mobility applications.
The HD mapping project spans more than one lakh kilometres of national highways, expressways, and strategic corridors across India, making it one of the most extensive road intelligence initiatives undertaken in the country. By delivering automotive-grade precision, the project sets a new benchmark for navigation maps that are capable of supporting advanced driver assistance technologies and enhancing road safety.
India’s highways contribute disproportionately to road accident fatalities due to high-speed traffic, inconsistent lane discipline, and limited real-time awareness for drivers and vehicles. Genesys’ HD maps aim to address these challenges by providing centimeter-level contextual data that conventional navigation maps are unable to offer. This enhanced level of detail allows ADAS systems to anticipate road conditions and potential hazards, representing a significant advancement over current sensor-based ADAS capabilities.
To achieve the level of accuracy required for ADAS Level 2 functionality, Genesys relies on the Survey of India’s Continuously Operating Reference Stations network. The CORS infrastructure provides real-time GNSS correction signals along major road corridors, enabling survey teams to capture highly accurate lane-level and asset-level data that meets global automotive standards. This work builds on the existing memorandum of understanding between Genesys International and the Survey of India, supporting collaboration on national mapping programs, digital twin initiatives, and other high-accuracy geospatial missions.
The HD maps developed by Genesys include critical ADAS features such as detailed lane geometry, road markings, barriers, signage, medians, elevation data, curvature profiles, and localization objects including poles and gantries. All datasets are processed to achieve centimeter-grade precision, ensuring suitability for advanced automotive and mobility applications.
