This work proposes CARLA-GS, a modular corner-case synthesis pipeline that decouples visual representation, semantic reasoning, and physics-based execution while maintaining tight cross-module coupling, and experiments show that this framework enables controllable corner-case generation and produces photorealistic, spatiotemporally consistent videos aligned with semantic intent and physically feasible motion.
An edge-assisted, closed-loop evaluation pipeline for platooning-aware vehicle routing is developed and results suggest that edge perception and shallow quantum optimization can work together as a useful component of closed-loop CAV platoon dispatching.
GHR-VLM, a visual grounded hybrid reasoning framework for zero-shot transit-bus video analytics, is proposed, motivated by the observation that explicit visual grounding can improve VLM reasoning by converting long surveillance streams into compact, passenger-centered spatiotemporal evidence.
Kaicong Huang, Weiheng Oh, Jack M. Reilly et al.· 0 citations
A federated quantum feature-sketching pipeline for traffic-stability gating using Pauli expectations and NGSIM trajectories, SUMO predictive gating with sensing noise, and IBM Quantum hardware is presented.
T. Azfar, Ruimin Ke· arXiv.org· 0 citations
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