Development and Validation of ADAS/AD Features Using MATLAB Solutions

Autonomous driving (AD) and advanced driver assistance systems (ADAS) are technologies which will see widespread adoption globally. The design, development, and validation of complex ADAS/AD algorithms are critical to assure the safety of the vehicle occupants. Simulation is an ideal choice to develop the ADAS/AD algorithms and validate them in a PC-based environment before the hardware availability. During the session, hear about the work done by Tata Elxsi to simulate ADAS/AD algorithms using the product portfolio from MATLAB^® and Simulink^®. Dive into topics like sensor modeling, scenario creation, environment modeling, control algorithm development, vehicle dynamics modeling, closed loop integration, and validation. Learn how ISO safety of the intended functionality can be validated in a virtual space using MathWorks solutions and about their intuitive nature for enhancing work productivity. See examples of the advantages of the MathWorks solutions that helped Tata Elxsi to accelerate the development process, and watch demonstrations of the interoperability of MATLAB solutions with 3D simulation tools for better visualization of the scenario. Finally, see how MathWorks solutions are used for ADAS/AD hardware-in-the-loop simulation validation for validation of ADAS/AD electronic control units.