Intelligent Driving Technology: Progress, Challenges, 
and Prospects

Yongbin Pan

doi:10.70711/aitr.v3i8.8915

Intelligent Driving Technology: Progress, Challenges, and Prospects

Yongbin Pan

Abstract

As a core field of deep integration between artificial intelligence and the transportation industry, intelligent driving has entered a
critical phase of mass production and application of high-level autonomous driving. Centered on the "perception-decision-control" closedloop system, it is promoting the transformation of transportation towards "safety, efficiency, and greenness" through the empowerment of
software-hardware collaboration and vehicle-road-cloud integration. This paper systematically sorts out the core progress of intelligent driving
technology, analyzes the core challenges combined with practical cases, proposes solutions, and looks forward to the development trends by
2035, providing references for relevant industry personnel.

Keywords

Intelligent Driving; Technological Progress; Industrial Challenges; Vehicle-Road-Cloud Collaboration; Computing Power Optimization; Ethical and Legal Regulations; Commercialization

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DOI: http://dx.doi.org/10.70711/aitr.v3i8.8915

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