基于人形识别摄像头的车辆防撞人系统设计
Design of Vehicle Collision Prevention System Based on Humanoid Recognition Camera
舒昊1
作者信息
- 1. 三一海洋重工有限公司,广东 珠海 519000
- 折叠
摘要
为提高城市交通环境中行人的安全,防止因车辆撞击而造成事故,本研究基于先进人形识别技术与机器学习算法,设计并实现了一种基于人形识别摄像头的车辆防撞人系统.通过对系统需求分析、总体架构设计、关键算法集成、软件功能模块等设计来确保系统在多种交通环境中的高效、准确性.最后通过系统测试来验证本系统功能有效性.结果表明,该系统能提高车辆在复杂环境下对行人的识别率,减少潜在的撞击风险,研究成果可为未来智能交通系统发展提供了技术支持.
Abstract
In order to improve the safety of pedestrians in urban traffic environment and prevent accidents caused by vehicle impact,this study designs and implements a collision-collision system based on advanced humanoid recognition technology and machine learning algorithm.Through the system requirements analysis,overall architecture design,key algorithm integration,software function modules and other design to ensure the high efficiency and accuracy of the system in a variety of traffic environments.Finally,the system test to verify the effectiveness of the sys-tem.The results show that the system can improve the recognition rate of pedestrians in complex environment and reduce the potential impact risk,and the research results can provide technical support for the future development of intelligent transportation system.
关键词
人形识别技术/车辆防撞/摄像头Key words
humanoid identification technology/vehicle collision prevention/camera引用本文复制引用
出版年
2024
NETL
NSTL
万方数据