Work

EdgeDriver: optimising autonomous driving assistance with multi-LLM framework in cloud-edge computing environments

Year: 2025

Type: article

Source: International Journal of Vehicle Information and Communication Systems

DOI: 10.1504/ijvics.2025.147511

Author: Yitian Zhu

Institution: Beijing University of Posts and Telecommunications

Language: English

Topic: Autonomous Vehicle Technology and Safety

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4412601772

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