Abstract: The present invention describes an Artificial Intelligence (AI) based Advanced Driver Assistance System (ADAS) testing tool. The testing tool comprises a processing unit configured to filter out, using a pre-trained noise cancellation ML model, the received audio signals to isolate noise signals from the received audio signals. Sequentially, the processing unit is configured to, using a using a pre-trained audio classification ML model, identify one or more audio signal from the filtered-out audio signals relating to ADAS audio signals and classify each of the one or more identified signals into a frequency class based on their distinct frequency characteristics. Finally, the processing unit is configured to evaluate each of the classified signal based on ADAS actions associated with the vehicle and generate test results of ADAS testing on each of the classified audio signals, based on the evaluation.

Abstract: Disclosed herein is an integrated Hardware-in-the-Loop (HIL) system and a method for testing hardware devices. In an embodiment, system comprises a front panel which may be configured to perform one or more predefined Input/Output (I/O) operations. Further, system comprises a rear panel interfaced with the front panel which may be configured to connect to a Device Under Test (DUT). Furthermore, the system comprises a microcontroller unit configured with an automated test application interface which further comprises a plurality of hardware abstraction layers required for testing hardware devices, wherein the hardware devices may include devices of invariant domain and invariant version.