9 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.DC2022★ 1 cited
Real-Time Dynamic Map with Crowdsourcing Vehicles in Edge Computing
Qiang Liu, Tao Han, Jiang +2
Autonomous driving perceives surroundings with line-of-sight sensors that are compromised under environmental uncertainties. To achieve real time global information in high definit…
cs.LG2022
EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing
Qiang Liu, Yuru Zhang, Haoxin Wang
High definition (HD) map needs to be updated frequently to capture road changes, which is constrained by limited specialized collection vehicles. To maintain an up-to-date map, we…
cs.IT2020★ 9 cited
Path Planning for UAV-Mounted Mobile Edge Computing with Deep Reinforcement Learning
Q. Liu, L. Shi, L. Sun +3
In this letter, we study an unmanned aerial vehicle (UAV)-mounted mobile edge computing network, where the UAV executes computational tasks offloaded from mobile terminal users (TU…