An AI-based autonomous driving robot for crash testing

With the rapid development of autonomous driving technology, the demand for crash testing is increasing day by day. Autonomous driving robots based on artificial intelligence can achieve efficient and accurate crash testing, provide a new solution for vehicle safety assessment, and promote the progress and application of intelligent transportation systems. Firstly, this study discusses the automatic driving technology, vehicle crash test technology and related machine vision applications, including road detection, traffic sign recognition, obstacle detection and other functions. Then, an artificial intelligence-based autonomous driving virtual simulation test platform is designed, which includes platform architecture, hardware and operation controller design, driving simulator design and decision control system construction. Finally, the performance test and analysis are carried out to evaluate the performance and accuracy of the system in simulated crash test. The ultimate purpose of this study is to promote the application of autonomous driving technology in the field of crash testing through in-depth discussion and practice, and provide strong support for the safety improvement of autonomous vehicles in the future.