Addressing Challenges in ADAS Validation: An Advanced Framework for Scalable Testing and Simulation

By seamlessly merging virtual simulations with actual driving data, the test framework for Advanced Driver Assistance Systems (ADAS) developed in this research intends to greatly enhance testing efficiency. Throughout the validation process, this platform makes it possible to acquire and utilize raw sensor data from test cars in an organized manner. By enabling the replay of measured data and the execution of simulations in the same testing environment, the framework successfully combines the benefits of simulated and real-world testing. Because of its scalability and versatility, it can accommodate many ADAS sensors and control units, which improves the validation of algorithms and systems. This framework expedites validation by simplifying the testing procedure, providing a solid foundation for future ADAS technology development. The proposed method is a significant advancement in ensuring the reliability and efficiency of ADAS systems in cost-effective, practical situations.