D6.4 Integrated Simultaneous Localisation and Mapping
Creators
-
1.
Brunel University of London
- 2. RunEl
-
3.
Institut Supérieur d'Électronique de Paris
- 4. Deutsche Telekom
Description
This deliverable reports on the different experiments that were performed to improve the reliability and accuracy of 5G/6G localisation techniques. It ranges from: sub 6GHz ToA localisation measurement campaigns; localisation from environment landmarks using LIDAR point clouds that could potentially have been be sensed from a 6G sensing system; Simultaneous Localisation and Mapping (SLAM) two-step localization system to improve the performance of the data fusion by data combination and selection; federated learning based localization using visible light signals to establish communication and determine the location of the receiving device to overcome the effects of multipath; a beacon positioning signal design which is used to unlock strict time synchronisation; a secure mutual localization system that uses iterative trilateration to determine location when continuous Line of Sight (LoS) access between at least three position-calibrated anchor nodes and the user equipment (UE) is not available for determining positions; a Blockchain-based solution for IIoT by utilizing sharding and the Interplanetary File System (IPFS) to efficiently store, process, and retrieve data to thereby increase the scalability of IIoT solutions while ensuring privacy.
Files
D6.4-Integrated Simultaneous Localisation and Mapping.pdf
Files
(12.7 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:4f72aa3699d5aa1cd878299907fbcedf
|
12.7 MB | Preview Download |