5 citations · 5 across the 5 of their papers we have counts for
5 papers
Case for Vehicle-Edge Collaborative Multi-Sensor Data Fusion for Autonomous Vehicle Teleoperation
Qixin Zhang, Ajay Kumar Gurumadaiah, Wei Ye +2
Teleoperation provides a critical safety fallback when autonomous vehicles (AVs) encounter scenarios that are outside their operational design domain. In practice, however, remote…
Multi-Agent Video Prediction: Self-Correcting Conditional Frames for Dynamic Scene Forecasting
Qixin Zhang, Ajay Kumar, Zhi-Li Zhang
Transmission latency significantly degrades user quality of experience in real-time interactive perception systems. In remote driving, maintaining reliable visual feedback is criti…
Impact of Data Compression on Downstream AI Tasks: A Study using Teleoperated Driving over 5G
Qixin Zhang, Steven Sleder, Xinyue Hu +3
Teleoperation, such as remote driving, is considered as a key use case of 5G and Next-Generation (NextG) networks. In this context, robots, autonomous vehicles, or other autonomous…
Multipath Adaptive Video Streaming with Multiple Description Neural Video Codec over 5G Networks
Xinyue Hu, Ziyan Wu, Jiaxiang Tang +5
5G networks employ multiple radio channels to meet growing demands for bandwidth and high-resolution video streaming for emerging applications. However, existing multipath video sy…
Robust Multiple Description Neural Video Codec with Masked Transformer for Dynamic and Noisy Networks
Xinyue Hu, Wei Ye, Jiaxiang Tang +2
Multiple Description Coding (MDC) is a promising error-resilient source coding method that is particularly suitable for dynamic networks with multiple (yet noisy and unreliable) pa…