Automated Mobile Sensing: Towards High-Granularity Agile Indoor Environmental Quality Monitoring

Proposes an automated mobile sensing system that dispatches a sensor-rich, navigation-capable robot for agile IEQ monitoring. To handle sparse spatio-temporal data, a tailored interpolation algorithm captures global trends and local variations, enabling efficient IEQ evaluation. Demonstrates high-granularity monitoring with adaptability to dynamic indoor environments. Best Paper Award.