文章基本信息

标题：Binocular intelligent following robot based on YOLO-LITE
本地全文：下载
作者：Yuanyuan Zheng ; Jun Ge
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2021
卷号：336
页码：1-10
DOI：10.1051/matecconf/202133603002
语种：English
出版社：EDP Sciences
摘要：In order to solve the problem that the deep neural network model is large in scale, the calculation time is too long, and the real-time performance is severely limited when combined with embedded devices, so studied the intelligent follower robot system based on YOLO-LITE algorithm combined with Raspberry Pi 3B+. The system mainly includes camera processing, target detection and other modules. Obtained the internal and external parameters of the camera through calibration, and according to these parameters to correct the binocular camera. Recognized and located the target in each frame of image, calculated the distance from the camera to the target and the center location error, and driven the car to move. The experimental results show that the following car has excellent real-time performance, the average detection frame rate can reach 20Fps, and the average detection accuracy can reach more than 80%.