摘要
自动驾驶和智慧交通的技术核心基础是图像识别和视频采集技术,而视频显示、采集器件硬件和装备的升级换代则推动了智能驾驶和智慧交通的巨大进步。然而,硬件装备固有的数字化延时特性和时序稳定性问题,尤其是视频成像的实时性和稳定性,限制了这些技术的大规模实际应用。为此,利用光电二极管探测开展视频和图像显示的延时测试,并将其应用于测量和评估本地视频处理的延时及稳定性。结果表明,该方法能够有效且准确地测量延时,并进行延时稳定性评估。该测试方法可初步应用于视频采集和显示产品的性能及匹配度检测。
The core technological foundation of autonomous driving and intelligent transportation is image recognition and video acquisition technology.The upgrading of hardware and equipment for video display and acquisition devices has promoted significant progress in intelligent driving and intelligent transportation.However,the inherent digital latency characteristics and timing stability issues of hardware equipment,particularly the real-time performance and stability of video imaging,limit the large-scale practical application of these technologies.Therefore,photodiodes are used to detect and conduct latency tests for video and image display,and this is applied to measure and evaluate the latency and stability of local video processing.The results show that this method can effectively and accurately measure the latency and evaluate the latency stability.This test method can be preliminarily applied to the performance and matching degree detection of video acquisition and displaying products.
作者
王米顺
胡正发
WANG Mishun;HU Zhengfa(School of Physics and Optoelectronic Engineering,Guangdong University of Technology,Guangzhou 510006,China;Synergy Innovation Institute of Shantou GDUT,Shantou 515041,China)
出处
《现代信息科技》
2025年第5期84-88,94,共6页
Modern Information Technology
基金
广东省科技创新战略专项项目(STKJ202209063)。
关键词
成像延时
延时检测
时间间隔
imaging latency
latency detection
time interval