34 citations · 36 across the 6 of their papers we have counts for
6 papers
Testing Large Language Models on Driving Theory Knowledge and Skills for Connected Autonomous Vehicles
Zuoyin Tang, Jianhua He, Dashuai Pei +2
Handling long tail corner cases is a major challenge faced by autonomous vehicles (AVs). While large language models (LLMs) hold great potentials to handle the corner cases with ex…
Think before You Leap: Content-Aware Low-Cost Edge-Assisted Video Semantic Segmentation
Mingxuan Yan, Yi Wang, Xuedou Xiao +3
Offloading computing to edge servers is a promising solution to support growing video understanding applications at resource-constrained IoT devices. Recent efforts have been made…
Progression Cognition Reinforcement Learning with Prioritized Experience for Multi-Vehicle Pursuit
Xinhang Li, Yiying Yang, Zheng Yuan +6
Multi-vehicle pursuit (MVP) such as autonomous police vehicles pursuing suspects is important but very challenging due to its mission and safety critical nature. While multi-agent…
A Digital Twin Empowered Lightweight Model Sharing Scheme for Multi-Robot Systems
Kai Xiong, Zhihong Wang, Supeng Leng +1
Multi-robot system for manufacturing is an Industry Internet of Things (IIoT) paradigm with significant operational cost savings and productivity improvement, where Unmanned Aerial…
GPSMirror: Expanding Accurate GPS Positioning to Shadowed and Indoor Regions with Backscatter
Huixin Dong, Yirong Xie, Xianan Zhang +3
Despite the prevalence of GPS services, they still suffer from intermittent positioning with poor accuracy in partially shadowed regions like urban canyons, flyover shadows, and fa…
DNN-Driven Compressive Offloading for Edge-Assisted Semantic Video Segmentation
Xuedou Xiao, Juecheng Zhang, Wei Wang +2
Deep learning has shown impressive performance in semantic segmentation, but it is still unaffordable for resource-constrained mobile devices. While offloading computation tasks is…