智能驾驶系统AI软件架构优化与实时性研究

打开文本图片集

中图分类号：U463.6 文献标识码：A 文章编号：1003-8639（2025）07-0060-03

Research on AI Software Architecture Optimization and Real-time PerformanceofIntelligentDriving System

Huang Zhenying

（Construction Information Engineering Department，Henan Technical College of Construction，Zhengzhou 45oo64，China）

【Abstract】With the evolution of intellgent driving technology towards full-chain autonomous decision-making， thisarticlesystematicallyexplorestheoptimizationpathofAItechnologyinthein-vehicleplatform.Aimingattherealtime performanceand resource constraints of object detection，a three-dimensionaloptimization scheme of YOLOv7is proposed.Through the CLDH structure，LHQSquantization strategy and Jetson Orin hardwareadaptation，the model performance is improved.Indecision-making and planning，dynamic interactive decision-making isachieved basedon thereinforcement learning framework combinedwith CARLA simulation.The softwarearchitectureadoptsmodular developmentanda two-waydata-driven process，and themultimodal sensorfusionarchitecturesolves theproblemof spatio-temporal consistency.In termsof performanceoptimization，real-timeguaranteeisachievedthrough TTSA scheduling，hardware directconnection，etc.Dynamic power consumption management and hybrid quantization improve energy effciency，and dual computing unit heterogeneous backupand other mechanisms ensure safety redundancy.The research providesa methodology for improving thereliabilityand large-scale applicationof inteligentdrivingsystems.

【KeyWords】 artificial intelligence；intelligent driving；real-time system

0 引言

智能驾驶从单一感知进阶到全链条自主决策，关键在于构建人-车-环境动态闭环。（剩余4265字）