3 citations · 4 across the 6 of their papers we have counts for
4 papers · 1 filter
TeleSim: A Network-Aware Testbed and Benchmark Dataset for Telerobotic Applications
Zexin Deng, Zhenhui Yuan, Longhao Zou
Telerobotic technologies are becoming increasingly essential in fields such as remote surgery, nuclear decommissioning, and space exploration. Reliable datasets and testbeds are es…
Optimizing QoS in HD Map Updates: Cross-Layer Multi-Agent with Hierarchical and Independent Learning
Jeffrey Redondo, Nauman Aslam, Juan Zhang +1
The data collected by autonomous vehicle (AV) sensors such as LiDAR and cameras is crucial for creating high-definition (HD) maps to provide higher accuracy and enable a higher lev…
Coverage-aware and Reinforcement Learning Using Multi-agent Approach for HD Map QoS in a Realistic Environment
Jeffrey Redondo, Zhenhui Yuan, Nauman Aslam +1
One effective way to optimize the offloading process is by minimizing the transmission time. This is particularly true in a Vehicular Adhoc Network (VANET) where vehicles frequentl…
Enhancement of High-definition Map Update Service Through Coverage-aware and Reinforcement Learning
Jeffrey Redondo, Zhenhui Yuan, Nauman Aslam
High-definition (HD) Map systems will play a pivotal role in advancing autonomous driving to a higher level, thanks to the significant improvement over traditional two-dimensional…