3 papers
cs.CV2025
QUIDS: Quality-informed Incentive-driven Multi-agent Dispatching System for Mobile Crowdsensing
Nan Zhou, Zuxin Li, Fanhang Man +7
This paper addresses the challenge of achieving optimal Quality of Information (QoI) in non-dedicated vehicular mobile crowdsensing (NVMCS) systems. The key obstacles are the inter…
cs.LG2025
Decision-focused Sensing and Forecasting for Adaptive and Rapid Flood Response: An Implicit Learning Approach
Qian Sun, Graham Hults, Susu Xu
Timely and reliable decision-making is vital for flood emergency response, yet it remains severely hindered by limited and imprecise situational awareness due to various budget and…
cs.RO2025
SniffySquad: Patchiness-Aware Gas Source Localization with Multi-Robot Collaboration
Yuhan Cheng, Xuecheng Chen, Yixuan Yang +6
Gas source localization is pivotal for the rapid mitigation of gas leakage disasters, where mobile robots emerge as a promising solution. However, existing methods predominantly sc…