Abstract: Methods, systems, and devices are described for calibrating a sensor of a distributed sensor system. More specifically, the described features generally relate to calibrating one sensor of such a system using information from one or more other sensors of the system. A calibration model may be determined based at least in part on a difference in geospatial location of the sensors. Further, in the case of one or both sensors being mobile, the difference in geospatial location of the sensors may vary over time such that different calibration models may apply to different portions of the sensed data. Also, the relative quality of the data sensed by the sensors may be taken into account for calibration (e.g., directionality of the calibration).

Abstract: Methods, systems, and devices are described for managing a distributed sensor system. More specifically, the described features generally relate to managing such a system to maintain or improve quality of data obtained from the system. Such management may involve receiving sensed data from sensors of the system and determining an aggregated data quality of the system based on knowledge of the quality of data from individual sensors of the system and knowledge of the geographical locations of the individual sensors. In general, the management may be performed to improve the aggregated data quality of the system. For example, a sensor of the system may be identified to be calibrated. The system may be managed to facilitate calibration of the identified sensor by identifying one or more other sensors of the system to be relocated so that the identified sensor may be calibrated using information from the other sensor(s).

Abstract: Methods, systems, and devices are described for calibrating a sensor of a distributed sensor system. More specifically, the described features generally relate to calibrating one sensor of such a system using information from one or more other sensors of the system. A calibration model may be determined based at least in part on a difference in geospatial location of the sensors. Further, in the case of one or both sensors being mobile, the difference in geospatial location of the sensors may vary over time such that different calibration models may apply to different portions of the sensed data. Also, the relative quality of the data sensed by the sensors may be taken into account for calibration (e.g., directionality of the calibration).

Abstract: A curtain assembly includes at least one curtain including at least one slat. The at least one curtain is configured to be rotatably coupled to a housing of a scanning system having a radiation source and a detector. The at least one curtain is further configured to facilitate drawing an object into the scanning system housing while substantially preventing radiation emitted from the radiation source from exiting the housing through the at least one curtain.

Abstract: A curtain assembly includes at least one curtain including at least one slat. The at least one curtain is configured to be rotatably coupled to a housing of a scanning system having a radiation source and a detector. The at least one curtain is further configured to facilitate drawing an object into the scanning system housing while substantially preventing radiation emitted from the radiation source from exiting the housing through the at least one curtain.