Scalable gas sensing, mapping, and path planning via decentralized hilbert maps
This paper develops a decentralized approach to gas distribution mapping (GDM) and information-driven path planning for large-scale distributed sensing systems. Gas mapping is performed using a probabilistic representation known as a Hilbert map, which formulates the mapping problem as a multi-class...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020
|
| Online Access: | https://hdl.handle.net/1721.1/126841 |