摘要
障碍物检测是目前人工智能领域研究的热点,针对室内复杂环境下的障碍物检测与距离测量,提出一种基于光流法和超声波测距的室内障碍物检测方法。该方法以树莓派为硬件基础,采用光流障碍物检测算法对移动障碍物姿态进行目标检测,并利用超声波传感器进行同时刻测距。实验结果表明:该系统能够很好地在树莓派智能车上实现,并达到实时检测移动障碍物的图像信息和位置信息。
Obstacle detection is a hot topic in the field of artificial intelligence.In view of obstacle detection and distance measurement in indoor complex environment,an indoor obstacle detection method based on optical flow method and ultrasonic ranging is proposed.The system is based on Raspberry Pi which is used optical flow obstacle detection algorithm and ultrasonic sensor to detect the image information and distance of the moving obstacle respectively at the same time.Experimental results show that the system can be well implemented in the intelligent car based on raspberry pi.It can achieve real-time detection of moving obstacle image information and location information.
作者
李明法
李媛媛
LI Mingfa;LI Yuan yuan(School of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai 201620,China)
出处
《传感器与微系统》
CSCD
2020年第8期103-106,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(61803254)。
关键词
光流法
超声波
障碍物检测
树莓派
optical flow method
ultrasound
obstacle detection
Raspberry Pi
