A Fusion Localization System for Security Robots Based on Millimeter Wave Radar and Inertial Sensors
Rui Zheng, Geng Sun, Fang Dong Li, Andrey V Savkin · 2024
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Description
Rui Zheng and co-authors build, in 2024 work, a way for guard robots to find their place when smoke and dust blind cameras and lasers. Short-wave radar can see through such air, so the team built the robot's sense of place on radar, with a method that finds the centre of a sparse cloud of points.
Radar alone left an error of about eleven units of length in their tests. They then fused radar with motion sensors that track the robot from inside, joined by a filter that weighs both streams. The fused system cut the mean error to about eight units, and its weights settled as the runs went on. The team says fusion gives the steadier, sharper fix that patrol work in bad air needs.
Catalog record
| CREATOR | Rui Zheng, Geng Sun, Fang Dong Li, Andrey V Savkin |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 37 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |