MathWorks MapmyIndia ADAS Collaboration Supports India

MathWorks and MapmyIndia Mappls Integrate HD Maps for ADAS Development

The MathWorks MapmyIndia ADAS Collaboration combines MapmyIndia’s high-definition maps with MathWorks’ MATLAB, Simulink and RoadRunner workflows to support the development and validation of Advanced Driver Assistance Systems for Indian road environments. The companies said the integration is intended to help automotive engineering teams simulate road and traffic scenarios and begin validation earlier in the development cycle. The workflow can also support the creation of digital twins representing Indian road environments and the testing of ADAS controllers within a Model-Based Design environment, bringing location intelligence and simulation capabilities together for automotive engineering applications.

MapmyIndia HD Maps Address Indian Road Environment Variability

The companies identified the variability of Indian road environments as a key challenge for ADAS development, citing dense and heterogeneous traffic, variable lane behavior, diverse road infrastructure and changing road layouts. MapmyIndia Mappls HD maps provide lane-level road geometry, traffic controls and road attributes, while also representing India-specific features such as speed breakers, potholes and faded lane markings. These map elements are intended to provide a digital representation of road conditions that engineering teams can use for simulation and testing of ADAS systems under conditions relevant to Indian roads.

Model-Based Design Supports Virtual ADAS Validation

MapmyIndia Mappls said the integration extends the MathWorks ecosystem for automated-driving development by connecting location intelligence with Model-Based Design workflows spanning simulation, algorithm development and validation. Within this workflow, engineering teams can use detailed road information to recreate different driving environments digitally and evaluate ADAS behavior before physical deployment. The approach is intended to provide a structured environment for developing and testing algorithms while using road characteristics that reflect Indian conditions, helping teams incorporate location-specific scenarios into the broader process of automated-driving system development.

MATLAB, Simulink and RoadRunner Enable Earlier Testing

MathWorks said virtual validation can allow automotive teams developing ADAS for India to evaluate system performance across different driving conditions before physical deployment. The integrated workflow is also intended to enable earlier testing of ADAS algorithms and reduce reliance on physical testing. By combining HD map information with MATLAB, Simulink and RoadRunner, the companies are providing an environment in which road scenarios, traffic conditions and ADAS controller behavior can be assessed digitally. This supports earlier identification and evaluation of system behavior during development rather than relying solely on later physical validation activities.

Collaboration Focuses on Indian ADAS Development Requirements

MapmyIndia President Automotive business and Chief Operating Officer Sapna Ahuja said the collaboration is focused on using HD map data to represent Indian road conditions in greater detail during ADAS development. MathWorks Senior Manager – Automotive Vijayalayan R. said the integration enables engineers to test ADAS algorithms earlier in the development process. The collaboration therefore combines MapmyIndia’s India-specific location intelligence with MathWorks’ simulation and Model-Based Design capabilities, with the stated objective of supporting engineering teams as they develop and validate ADAS functions for the varied road and traffic conditions encountered in India.

Industry Impact & Outlook

The collaboration could strengthen virtual development and validation workflows for ADAS programs that need to account for India’s diverse road environments, particularly where road geometry, traffic behavior and infrastructure characteristics differ substantially across scenarios. Its practical significance lies in bringing India-specific HD map information into established simulation and Model-Based Design processes, potentially allowing engineering teams to evaluate a broader range of relevant conditions earlier in development. The next stage will depend on how automotive teams apply the integrated workflow to specific ADAS algorithms and validation programs, while the combination of detailed location data and virtual testing could support more representative development before physical deployment.

Frequently Asked Questions

What does the MathWorks and MapmyIndia collaboration provide for ADAS development?
The collaboration integrates MapmyIndia’s HD maps with MathWorks’ MATLAB, Simulink and RoadRunner workflows to support simulation and validation of ADAS for Indian road environments. The integrated approach can represent road and traffic conditions digitally, including lane-level geometry, traffic controls, speed breakers, potholes and faded lane markings. Automotive engineering teams can use these digital representations to create road scenarios, develop and test algorithms, and evaluate ADAS controllers within a Model-Based Design environment. The companies said the workflow is intended to enable earlier validation and reduce reliance on physical testing during development.