Advantages of AI-Processed Crowdsourcing Method in Map Data Update Mechanism of Navigation System of Autonomous Driving

Abstract

This research delves into the advantages of the AI-processed crowdsourcing method in the map data update mechanism for the navigation system of autonomous driving. It explores how this innovative approach offers high real-time performance, enabling immediate capture of road changes. The method facilitates large-scale data collection from a wide range of sources, ensuring comprehensive coverage. Cost-effectiveness is achieved by leveraging existing user infrastructure and AI-driven data processing. Data accuracy and reliability are enhanced through crowdsourcing method and AI cleaning algorithms. Additionally, it examines real-world application cases, highlighting successful implementation and outcomes. Looking towards the future, potential developments and challenges are discussed, emphasizing the need for continuous improvement in areas like data security and standardization. The conclusion asserts that with strategic mitigation of challenges, this method holds great promise in advancing autonomous driving technology for safer and more efficient navigation.