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Research Review on Testing Technologies for Autonomous Driving Software
Based on an extensive review of domestic and foreign literature, this paper makes a systematic analysis and exploration of the autonomous driving software test technology. Combined with the architecture characteristics and system characteristics of autonomous driving software, this paper deeply discusses the simulation test and real scene test methods for the autonomous driving system, as well as the test technology for software components. In terms of simulation test, this paper analyzes software simulation, semi-solid simulation, and ring simulation in detail, and discusses the simulation objects of static environment simulation, dynamic scene simulation, sensor simulation, and vehicle dynamics simulation. For the test technology of autonomous driving software components, this paper focuses on the latest progress of data-driven technology in the testing of sensing components, decision planning components, and control components. Finally, this paper summarizes and analyzes the current challenges of autonomous driving software testing technology, and prospects the direction and focus of future research, aiming to provide a useful reference for the further development of autonomous driving technology.
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