Current State of Autonomous Driving Applications Based on Distributed Perception and Decision-Making
DOI:
https://doi.org/10.53469/wjimt.2024.07(03).03Keywords:
Distributed cloud architecture, Autonomous driving system, Data localization processing, Intelligent perception and decision making, Real-time decision capabilityAbstract
This article reviews the key role of distributed cloud architecture in autonomous driving systems and its integration with intelligent computing networks. By spreading computing resources across multiple geographic locations, the distributed cloud enables localized processing and storage of data, reducing latency and improving real-time decision making in autonomous vehicles. The article points out that the combination of distributed cloud technology and intelligent computing network provides a powerful solution to meet the challenges of autonomous driving technology. By dynamically allocating computing resources and deeply integrating cloud, network, and chip technologies, distributed cloud gives autonomous driving systems enhanced data processing capabilities to ensure stable and reliable performance in a variety of driving scenarios. Finally, the paper highlights that the synergy of distributed cloud and intelligent driving technology marks an important milestone for intelligent transportation systems, heralding the accelerated adoption of distributed cloud solutions in the automotive industry, driving the pace of innovation and transformation.
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