摘要
本文提出一种融合超声探测与深度学习的智能车灯控制模块设计方案,通过硬件差异化设计、软件多任务调度和算法创新优化,实现前照灯、尾灯及其他小灯的集成化控制,提升系统在恶劣环境下的适应性和响应速度。
This paper presents a design scheme for an intelligent vehicle lamp control module that integrates ultrasonic detection and deep learning.Through differentiated hardware design,multi-task software scheduling,and innovative algorithm optimization,it realizes the integrated control of headlamps,taillights,and other small lamps,enhancing the system's adaptability and response speed in harsh environments.
作者
李泰民
黄平
徐青
张小虎
胡开威
李晓龙
Li Taimin;Huang Ping;Xu Qing;Zhang Xiaohu;Hu Kaiwei;Li Xiaolong(Chery Automobile Co.,Ltd.,Wuhu 241007,China;School of Information Science and Engineering,Shenyang University of Technology,Shenyang 110870,China)
出处
《汽车电器》
2026年第1期102-104,共3页
Auto Electric Parts
