利用超声波传感器和RGB-HD摄像机实现SLAM和目标检测

Pranav S. Bala Naga, P. Hari, R. Sinduja, Siddharth Prathap, M. Ganesan
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引用次数: 1

摘要

在移动机器人这一新兴领域中,机器人的同步定位与映射(SLAM)技术发挥着越来越重要的作用。尽管移动机器人SLAM的算法和方法多种多样,但该领域在多目标检测和映射方面仍然面临许多困难。在本文中,我们提出了一种方法来确定移动机器人的位置和他们的导航,以建立一个轮廓图的环境,当没有事先的位置知识,以一种高效和经济的方式。该方法主要使用超声波传感器、RGB-720p摄像头、电机驱动器和树莓派模块对提取的数据进行处理。此外,这种方法甚至可以广泛应用于需要机器人的室外环境,如医院、生物医疗机构等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Realization of SLAM and Object Detection using Ultrasonic Sensor and RGB-HD Camera
In the emerging field of mobile robotics, Simultaneous Localization and Mapping (SLAM) of robots play an increasingly important role. In spite of the availability of various algorithms and methodologies for SLAM in mobile robots, this field still faces a lot of difficulties in detecting multiple objects and mapping. In this paper, we propose a method to determine the position of mobile robots and their navigation to establish an outline map of the environment when no previous knowledge of its location is available in a highly effective and cost-efficient manner. This proposed method primarily uses an ultrasonic sensor, RGB-720p camera, motor drivers and a Raspberry Pi module for processing the extracted data. Further, this method can be extensively used even in outdoor environments like hospitals, bio-medical institutions, etc., where robots are required.
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