PDRHea is a scenario generation solution for corner case identification in simulation-based test and validation of automated driving. By integrating AI technology, PDRHea can automatically and randomly generate infinite realistic scenarios in simulation. It can solve problems like the limitation of scenario number in known-unsafe scenario libraries, the high scenario construction cost, the Uncover of unknown-unsafe scenarios and the limited replacement of real-world road test due to the low validity of scenarios in simulation. It provides
●An effective integration of AI technology and physical environmental perception sensor models;
●Behavior modelling and filtering by utilization of AI technology for, to decrease the occurrence of test scenarios that are impossible in common sense;
●Recursive iteration of hierarchic scene elementary parameters to generate scenes randomly, and avoid the limitations of manual work.
●Close-loop simulation in high quality covering multiple modules, from sensor raw data generation to perception and PNC.