Cloud-Based Autonomous Indoor Navigation: A Case Study

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

Cloud-Based Autonomous Indoor Navigation: A Case Study

Robotics 2019-02-22 v1 Computer Vision and Pattern Recognition

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

Abstract

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.

Keywords

robot navigation unmanned aerial vehicle planetary rover autonomy

Cite

@article{arxiv.1902.08052,
  title  = {Cloud-Based Autonomous Indoor Navigation: A Case Study},
  author = {Uthman Baroudi and M. Alharbi and K. Alhouty and H. Baafeef and K. Alofi},
  journal= {arXiv preprint arXiv:1902.08052},
  year   = {2019}
}

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