MapmyIndia’s HD maps now feed directly into MathWorks’ MATLAB, Simulink and RoadRunner, giving engineers a single, one‑step workflow for ADAS validation. The result is a sandbox that mirrors the real Indian road, complete with speed breakers, potholes and faded lane markings.
Unlike the patchy data sets that many developers rely on, MapmyIndia offers lane‑level geometry and traffic control information across the country’s main highways and key urban arteries. That granularity lets simulation capture the quirks that cause driver‑assist systems to stumble—variable lane width, uneven shoulders and unpredictable traffic lights.
Other Indian OEMs still depend on satellite imagery or generic road models, which miss subtle local features. By contrast, the MapmyIndia‑MathWorks combo brings those details into the virtual twin, giving engineers a richer environment to tweak algorithms and weed out bugs before a single test drive.
Sapna Ahuja, President of MapmyIndia’s automotive business, said the partnership focuses on representing Indian road conditions in finer detail during ADAS development. Senior Manager Vijayalayan R. of MathWorks added that the new workflow shortens the validation cycle and cuts reliance on costly on‑road testing.
The collaboration is already live, and OEMs can start using the integrated workflow in their design pipelines this quarter. Future plans include expanding the data set to cover more urban intersections and integrating autonomous‑driving scenarios, which aligns with India’s push for safer, more autonomous vehicles.