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MathWorks Integrates MapmyIndia HD Maps With MATLAB, Simulink to Test ADAS for Indian Roads

Bengaluru: MathWorks and MapmyIndia Mappls have announced a collaboration aimed at helping automotive engineers develop and validate Advanced Driver Assistance Systems, or ADAS, for Indian road conditions by combining high-definition mapping with virtual simulation tools.

Under the collaboration, MapmyIndia’s high-definition maps will integrate with MathWorks’ MATLAB, Simulink and RoadRunner platforms, allowing engineering teams to recreate Indian road environments digitally and test ADAS systems earlier in the vehicle-development process.

The companies said the integration will enable engineers to build digital twins of road networks, simulate complex traffic situations and validate ADAS controllers within a Model-Based Design environment before extensive physical testing begins.

The approach is particularly relevant to India, where developing automated-driving assistance systems involves conditions that can be considerably less predictable than those typically found in highly structured road networks.

Indian roads can feature dense mixed traffic, inconsistent lane discipline, varying infrastructure standards and frequently changing layouts. Engineers must also account for road features including speed breakers, potholes and faded lane markings — details that may sound mundane until an automated-driving system has to recognise them correctly.

MapmyIndia said its HD maps provide lane-level road geometry, traffic controls, detailed road attributes and India-specific road features designed to create a more accurate digital representation of real-world driving conditions.

“India’s roads present some of the world’s most complex and dynamic driving environments. Developing ADAS solutions for these conditions requires far more than adapting models built for structured traffic ecosystems. MapmyIndia’s HD maps capture the scale and complexity of Indian roads with accuracy and detail — from lane-level geometry and traffic controls to speed breakers, potholes, faded lane markings and other critical localised road attributes. Our collaboration with MathWorks empowers automotive engineers to simulate real Indian driving conditions, validate systems earlier, and accelerate the development of ADAS solutions that are truly built for India.” said, Sapna Ahuja, President Automotive business and Chief Operating Officer, MapmyIndia Mappls.

By bringing MapmyIndia’s location technologies into the MathWorks automated-driving ecosystem, engineers will be able to combine location intelligence with simulation, algorithm development and validation workflows.

The companies expect the setup to help automotive development teams evaluate ADAS algorithms across a wider range of Indian driving scenarios without depending entirely on repeated on-road testing.

Virtual validation has become increasingly important as vehicles gain more sophisticated driver-assistance functions. Testing systems in simulation can allow engineers to expose algorithms to numerous road layouts, traffic patterns and edge cases before vehicles reach public roads.

“As automotive teams expand ADAS development for India, virtual validation is becoming essential to evaluate system performance across diverse driving conditions,” said Vijayalayan R., Senior Manager – Automotive, MathWorks. “By integrating MapmyIndia’s HD maps with MATLAB, Simulink, and RoadRunner, engineers can test ADAS algorithms earlier in development, reduce reliance on costly physical testing, and improve system performance before deployment on Indian roads.”

The collaboration reflects a broader shift in automotive engineering towards simulation-led development, particularly as ADAS systems become more capable and increasingly tailored to individual markets.

For India, where road environments can change dramatically within a relatively short distance, accurate local mapping and realistic virtual testing could become important tools in determining how effectively advanced driver-assistance technologies move from laboratory models to everyday traffic.

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