摘要
人工智能模型以其强泛化能力和多任务学习能力,在智能网联汽车领域展现出广阔的应用前景。总结了人工智能模型在智能驾驶中应用面临的挑战,分析了车端模型发展的技术路线和车端模型开发验证支撑平台技术,归纳了智能座舱等方向的应用情况,探索了基于大语言模型构建场景生成大模型的方法。从人工智能安全和数据治理2个角度,归纳了人工智能在汽车领域应用中的安全治理实践,为人工智能技术相关应用的安全测评与管理提供参考。
Artificial intelligence(AI)models,with their strong generalization and multi-task learning capabilities,have demonstrated extensive application potential in intelligent connected vehicles.This paper summarizes the challenges of the application of AI models in driving automation,analyzes the technical route of driving automation models,and the supporting platform technology of driving automation model development and validation,summarizes the application of intelligent cockpit,and explores the method for constructing scenario generation models based on large language models.From the perspectives of AI security and data governance,this paper summarizes the security governance practices associated with the application directions for AI models,providing a reference for the safety assessment and management of AI-related applications.
作者
陈贞
郭煌
李京泰
Chen Zhen;Guo Huang;Li Jingtai(Beijing Dishi Data Technology Co.,Ltd.,Beijing 100176;Bejing Saimo Technology Co.,Ltd.,Beijing 100080;Ministry of Industry and Information Technology Equipment Industry Development Center,Beijing 100846)
出处
《汽车文摘》
2025年第6期1-16,共16页
Automotive Digest
基金
新一代人工智能国家科技重大专项(2022ZD0116311)。
关键词
人工智能模型
智能网联汽车
场景生成大模型
安全管理体系
Artificial intelligence models
Intelligent connected vehicles
Scenario generation model
Safety management system
