Our team’s project, LiDAR Occupancy and Analysis Detection System (LOADS), has been officially accepted to be demoed at the IEEE International Conference on Pervasive Computing and Communications (PerCom) 2025.
LOADS: LiDAR-based Privacy-Preserving Queue Monitoring and Analysis
Saisricharan Malkireddy, Sumedh Kane, Sourimitra Medepalli, Satvik Racharla, Bharg Barot, Christian Badolato, Roberto Yus (University of Maryland, Baltimore County, USA)
We got a second demo paper accepted in collaboration with Portland State University. This work presents a system to identify suspicious trackers.
BL(u)E CRAB: A User-Centric Framework for Identifying Suspicious Bluetooth Trackers.
Dylan Conklin (Portland State University, United States), Primal Pappachan (Portland State University, United States) and Roberto Yus (University of Maryland, Baltimore County, United States).