Skip to Main content Skip to Navigation
Conference papers

Crowd-based personal radars for indoor mapping using UWB measurements

Abstract : The concept of personal radar has recently emerged as an interesting solution for future simultaneous localization and mapping (SLAM) applications. In this paper we evaluate the performance of an ultrawide-band (UWB) radar system for indoor environments mapping by exploiting a grid-based Bayesian approach able to combine all the measurements collected by radars adopting non-pencil beam antennas. In the proposed approach, the crowd will be involved by freely exploring the space, sending environmental partial views of it to cloud servers, where a complete map will be formed. Results show how the mapping accuracy can be improved thanks to the information collected from the crowd and considering different receivers schemes.
Document type :
Conference papers
Complete list of metadatas

Cited literature [7 references]  Display  Hide  Download
Contributor : Raffaele d'Errico <>
Submitted on : Monday, July 10, 2017 - 4:29:04 PM
Last modification on : Friday, July 10, 2020 - 7:58:54 AM
Long-term archiving on: : Wednesday, January 24, 2018 - 5:01:18 PM


Files produced by the author(s)




Anna Guerra, Francesco Guidi, Lilia Ahtaryieva, Nicolo Decarli, Davide Dardari. Crowd-based personal radars for indoor mapping using UWB measurements. Ubiquitous Wireless Broadband (ICUWB), 2016 IEEE International Conference on, Oct 2016, Nanjing, China. ⟨10.1109/ICUWB.2016.7790437⟩. ⟨cea-01559397⟩



Record views


Files downloads