Name
Abstract | ||
|---|---|---|
This paper proposes an experimental study of quality metrics that can be applied to visual and infrared images acquired from cameras onboard an unmanned ground vehicle (UGV). The relevance of existing metrics in this context is discussed and a novel metric is introduced. Selected metrics are evaluated on data collected by a UGV in clear and challenging environmental conditions, represented in this paper by the presence of airborne dust or smoke. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/2377576.2377578 | PerMIS |
Keywords | Field | DocType |
infrared image,visual metrics,outdoor perception,novel metric,quality metrics,experimental study,selected metrics,sensor data quality,environmental condition,unmanned ground vehicle,airborne dust,computer vision,perception | Computer vision,Data quality,Simulation,Computer science,Unmanned ground vehicle,Artificial intelligence,Perception | Conference |
Citations | PageRank | References |
3 | 0.39 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christopher Brunner | 1 | 3 | 0.39 |
| Thierry Peynot | 2 | 107 | 14.82 |