基于智驾高阶算力平台的AEB功能优化设计

中图分类号：U463.526 文献标识码：A 文章编号：1003-8639（2025）10-0053-03

【Abstract】The Automatic Emergency Braking （AEB）is acore active safety function of intellgent driving and is widelyused in intellgent vehicles.However，the traditionalAEB system has deficiencies in sensordependence，scene adaptabilityandfalse trigercontrol，andisdifficult tomeetthesafetyrequirements incomplexenvironments.This article，relying on the high-end computing power platform for inteligent driving of Great Wall Motor（equipped with NVIDIA Orin-Ymain control SoC，featuring 2OoTOPS AIcomputing power and 27 high-precision intelligent sensors）， analyzes thedesign key points of AEB interms of regulatory compliance，user experience，functional boundaries，and adaptation todificult scenarios.Through amulti-sensorfusion architecture，areasonablescoring strategy，a generalization test system，and acloud platform data closed-loop mechanism，the perception acuracyand trigger robustness of the AEB system are significantly enhanced.Research shows that high-levelcomputing power platforms provide key technical support forAEBfunctions，enabling them to transform from "rulecontrol"to "data-driven intelligent decision-making". Theycan notonly pass regulatory tests but also adapt to complex environments，serving as the foundation for promoting the intelligent upgrade and large-scale application of AEB.

【Key words】automatic emergency braking；inteligent driving;advanced computing power platform;multisensor fusion; function optimization

随着汽车技术的发展，自动紧急制动系统AEB作为核心主动安全功能，能自动识别碰撞风险并触发制动，有效避免或减轻事故后果。（剩余4686字）