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arXiv 1902.08052cs.ROcs.CV

Cloud-Based Autonomous Indoor Navigation: A Case Study

King Fahd University of Petroleum and Minerals(法赫德国王石油与矿业大学)

Uthman Baroudi, M. Alharbi, K. Alhouty, H. Baafeef, K. Alofi

英文摘要:

In this case study, we design, integrate and implement 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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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