Name
Abstract | ||
|---|---|---|
Multi-modal Probabilistic Active Sensing (MMPAS) uses sensor fusion and probabilistic models to control the perception process of robotic sensing platforms. MMPAS is successfully employed in environmental exploration, collaborative mobile robotics, and target tracking, being fostered by the high performance guarantees on autonomous perception. In this context, we propose a bi-Radio-Visual PAS sche... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MMAR49549.2021.9528477 | 2021 25th International Conference on Methods and Models in Automation and Robotics (MMAR) |
Keywords | DocType | ISBN |
Visualization,Target tracking,Radio transmitters,Process control,Sensor fusion,Robot sensing systems,Probabilistic logic | Conference | 978-1-7281-7380-1 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luca Varotto | 1 | 0 | 2.03 |
| Angelo Cenedese | 2 | 92 | 27.71 |