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.
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Communication dans un congrès
Ubiquitous Wireless Broadband (ICUWB), 2016 IEEE International Conference on, Oct 2016, Nanjing, China. 2016, 〈http://ieeexplore.ieee.org/document/7790437/〉. 〈10.1109/ICUWB.2016.7790437〉
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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. 2016, 〈http://ieeexplore.ieee.org/document/7790437/〉. 〈10.1109/ICUWB.2016.7790437〉. 〈cea-01559397〉

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