Abstract: A method for evaluating performance of a self-driving vehicle oriented to full parameter space of a logical scenario is provided. After the test logic scenario of the self-driving vehicle system and its matched parameter space are given, the tested self-driving vehicle system is put into the logic scenario for testing, and the driving data under each specific test condition is obtained. After the driving trajectory of the tested self-driving vehicle system in the whole test logic scenario parameter space is obtained, the logic scenario is divided into two parts according to the ideal vehicle motion curve, namely, a safe region and a dangerous region. The key points and indicators of evaluation in the two regions are determined.

Abstract: The disclosure belongs to the technical field of autonomous vehicle, in particular to an automatic driving acceleration test method considering efficiency and coverage, which includes the following steps. Step 1 is definition of scenario test priority. Step 2 is zone division. Step 3 is search within zones. Step 4 is update of scenario test priorities. Step 5 is iterative test. After selecting the automatic driving function to be tested and setting the parameters of the vehicle operation zone, the scenario generation range is formed. The coverage of the test scenario is improved by dividing the generated range and setting the freedom of early autonomous driving exploration. The efficiency of the test process is improved by continuously improving the probability of generating dangerous scenarios in the test process. Thus, it is ensured that the generated test scenarios take into account both test efficiency and test coverage.