17 papers
Risk-Adaptive Edge--Cloud Visual Reasoning for Communication-Efficient Autonomous Driving
Meng Ma, Shuyang Li, Naigang Wang +1
Cloud-hosted vision-language models (VLMs) offer greater contextual reasoning capabilities than smaller onboard models, but frequent visual uploads increase communication overhead…
Cooperative Platoon Routing and Dispatching via Edge-Assisted Hybrid Quantum Optimization
Talha Azfar, Ruimin Ke
Cooperative platooning can reduce the energy use of Connected and Autonomous Vehicle (CAV) fleets, but the routing problem becomes difficult when vehicles must meet on the same roa…
FedQML-Edge: Compact Quantum Feature Sketches for Communication-Constrained Roadside Federated Learning
Talha Azfar, Ruimin Ke
Roadside units (RSUs) supporting connected and autonomous vehicle corridors need compact models to decide when cooperative maneuvers should be rewarded, deferred, or disabled. Raw…
GHR-VLM: Making Zero-Shot Transit Video Analytics Realizable with Grounded Hybrid Reasoning
Kaicong Huang, Weiheng Oh, Ruimin Ke +2
The paper introduces GHR-VLM, a framework that combines edge-based visual grounding with a vision‑language model to perform zero‑shot analytics of bus surveillance video, identifyi…
CARLA-GS: Decoupling Representation, Reasoning, and Physics Simulation for Autonomous Driving Corner-Case Synthesis
Kaicong Huang, Meng Ma, Ruimin Ke
Safety evaluation for autonomous driving is dominated by rare, safety-critical interactions, motivating simulators that can deliberately synthesize corner cases with photorealistic…
Decoupled Intelligence: A Multi-Agent LLM Framework for Controllable Traffic Scenario Generation in SUMO
Shuyang Li, Ruimin Ke
The integration of Large Language Models (LLMs) with microscopic traffic simulation offers a promising path toward autonomous urban planning and intelligent transportation analysis…