3 papers
cs.RO2025
Tri-Select: A Multi-Stage Visual Data Selection Framework for Mobile Visual Crowdsensing
Jiayu Zhang, Kaixing Zhao, Tianhao Shao +2
Mobile visual crowdsensing enables large-scale, fine-grained environmental monitoring through the collection of images from distributed mobile devices. However, the resulting data…
cs.RO2025
AG-MPBS: a Mobility-Aware Prediction and Behavior-Based Scheduling Framework for Air-Ground Unmanned Systems
Tianhao Shao, Kaixing Zhao, Feng Liu +2
As unmanned systems such as Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) become increasingly important to applications like urban sensing and emergency respo…
cs.MA2025
AGCo-MATA: Air-Ground Collaborative Multi-Agent Task Allocation in Mobile Crowdsensing
Tianhao Shao, Bohan Feng, Yingying Zhou +2
Rapid progress in intelligent unmanned systems has presented new opportunities for mobile crowd sensing (MCS). Today, heterogeneous air-ground collaborative multi-agent framework,…