Corpus ID: 237513902

Research Project 2: Drone-supported AI-based Generation of 3D Maps of Indoor Radio Environments

@article{Mendes2021ResearchP2,
  title={Research Project 2: Drone-supported AI-based Generation of 3D Maps of Indoor Radio Environments},
  author={Ken Mendes},
  journal={ArXiv},
  year={2021},
  volume={abs/2109.06923}
}
  • Ken Mendes
  • Published 14 September 2021
  • Computer Science, Engineering
  • ArXiv
A Radio Environment Map (REM) is a powerful tool in enhancing the experience of radio-enabled agents but building such a REM can be a laborious undertaking, especially in three dimensions. This project shows how such a REM of an indoor three-dimensional space can be generated in an autonomous and scalable way. Building on the results of the preceding Research Project 1, multiple drones are used to map the WiFi signals present in such a space in a real-world environment where the drones are each… Expand

References

SHOWING 1-4 OF 4 REFERENCES
Automated, autonomous, and repeatable wireless experimentation in heterogeneous 3D environments: demo abstract
TLDR
A drone-based testbed for automated, autonomous, and repeatable experimentation with mobile wireless infrastructures in heterogeneous 3D environments and guarantees the absence of interference with the SUT is proposed. Expand
Bitcraze Crazyflie Firmware release 2021
    Custom drone based REM client
      ESP-01 driver for the Crazyflie 2