VEHICLE TESTING APPARATUS FOR FULL VEHICLE PERFORMANCE TESTING AS WELL AS VEHICLE TESTING OF INDIVIDUAL ON-BOARD SYSTEMS/SOFTWARE, SENSORS AND COMBINATIONS OF SENSORS, AND METHOD THEREOF

Proposed is an electronic, automotive accident risk measuring system (1) for accidentology-based measuring of accident risk-indexing score values for a motor vehicle (2) to be tested providing a measured accident probability value for an occurrence of an accident event having a physical impact to the tested motor vehicle (2), which comprises the processing unit (4) comprising a driving scenario module (40), a test setting module (42) and a scoring module (44). The driving scenario module (40) is configured for determining various driving scenarios (5) for the motor vehicle (2) by defining a set of measurable scenario characteristics (50, 51, 52,...), which include at least one ADAS variable. The test setting module (42) is configured for determining a test setting (6) in form of a multi-dimensional test matrix (60), which includes testing protocols (61, 62, 63,...) for each of the measurable scenario characteristics for providing measured values of measurable scenario characteristics of the various driving scenarios. The measured values are presented in a multi-dimensional test result signal (14) including test result data for each of the measured scenario characteristics. The scoring module (44) is configured for generating the risk-indexing score (70) by receiving the multi-dimensional test result signal (16) and a historical data information signal (16) from an accident database (8). The historical information data signal (16) indicates a probability of occurrence of an accident and/or a damage magnitude for one or more historic driving scenarios, which at least partially comprise the measured scenario characteristics of one or more of the various driving scenarios (5). The historical data provide a quantified measure of frequency of accidents (163, 165, 167,...) and/or severity of damage (164, 166, 168,...) associated to the various driving scenarios (5). The scoring module (44) comprises a scoring structure with a weighting structure (46) for weighting the multi-dimensional test result data (14) based on the historical data information signal (16) with respect to a contribution of each of the various driving scenarios (5) to the accident probability value and an aggregator (48) for aggregating the weighted multi-dimensional test result data of the various driving scenarios (5) to define the risk-indexing score (70) for the motor vehicle (2). Il est proposé un système de mesure de risque d'accident automobile électronique (1) pour la mesure accidentell