ABSTRACT
Intelligent car technologies represented by autonomous driving systems will have a significant impact on the ecological transformation of the automotive industry. First, this paper analyzes the development route, development status, and artificial intelligence (AI) application fields of autonomous driving technology. It points out the challenges that AI faces in autonomous driving applications. Secondly, based on the Beidou satellite navigation system, this paper designs an automatic driving system based on Arm architecture chips, 5G communication systems, and various sensor perception technologies. Third, this paper introduces RRT and Kalman filtering techniques to process the data collected from different sensors to accurately estimate and identify the surrounding environment of electric vehicles, even in noisy environments. Finally, this paper verifies that the controller can completely track the straight path and has a high tracking accuracy for the circular path through simulation.
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Index Terms
- Research on the Application of Computer Artificial Intelligence Navigation Technology in Automobile Automatic Driving System
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