Scalable sensor analysis for vehicular driving assistance system

A method for testing a vehicular driver assistance system, the method comprising:

• obtaining image data captured by a forward-viewing camera disposed at a windshield of a vehicle equipped with the vehicular driver assistance system, the vehicular driver assistance system comprising an image processor for processing captured image data;
• obtaining annotations of the captured image data, the annotations representing a predicted output of the image processor when processing the captured image data for the vehicular driver assistance system;
• storing the captured image data and the annotated image data at data storage;
• generating, using a MapReduce technique, analysis data based on statistical analysis of the captured image data and statistical analysis of the annotated image data;
• storing the analysis data at a results database;
• and
• generating, using the stored analysis data, a key performance indicator (KPI) report comprising a test overview and a pass or fail result of the testing, wherein the KPI report comprises a dynamic graphic representation based on the analysis data, and wherein the dynamic graphic representation comprises a three-dimensional model of the equipped vehicle and at least one other object modeled relative to the equipped vehicle generated from the captured image data to visualize a driving scene.