Research on the SLAM technology moving away from high-precision maps in the context of autonomous driving

Abstract

SLAM(Simulation Localization and Mapping) technology is widely used in the fields of unmanned driving, autonomous robots and augmented reality. Real-time localization and mapping capabilities provide important support for autonomous driving. In this paper, we present a review of the implications of SLAM technology away from high-precision maps in autonomous driving scenarios, and the concept and production process of high-precision maps, as well as their role and advantages in autonomous driving, are discussed. Then, the application, significance, and advantages of SLAM technology in autonomous driving scenarios are discussed in detail, and the advantages of SLAM technology in environmental adaptability, real-time performance, cost and scalability, and safety in emergency situations are emphasized. Finally, the challenges faced by the current SLAM technology in autonomous driving are analyzed, and the development prospects of SLAM technology in the field of autonomous driving in the future are discussed.