Cloud-Based Autonomous Indoor Navigation: A Case Study

U. Baroudi, M. Alharbi, K. Alhouty, H. Baafeef, K. Alofi
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Abstract

This study designs, integrates and implements a cloud-enabled autonomous robotic navigation system. The system has the following features: map generation and robot coordination via cloud service and video streaming to allow online monitoring and control in case of emergency. The system has been tested to generate a map for a long corridor using two modes: manual and autonomous. The autonomous mode has shown more accurate map. In addition, the field experiments confirm the benefit of offloading the heavy computation to the cloud by significantly shortening the time required to build the map.
基于云的自主室内导航:一个案例研究
本研究设计、整合并实现一个云端自主机器人导航系统。该系统具有以下特点:通过云服务和视频流生成地图和机器人协调,以便在紧急情况下进行在线监控和控制。该系统已经过测试,可以使用手动和自动两种模式为一条长走廊生成地图。自动模式显示出更精确的地图。此外,现场实验证实了将繁重的计算工作转移到云端的好处,因为它大大缩短了构建地图所需的时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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