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cs.CV2026
No Training, Better Flights: Test-Time Scaled VLMs for UAV Navigation
Feinan Cheng, Dongliang Xu, Wenli Nong +4
Test-time scaling offers a promising method to improve the inference performance of Vision-Language Models (VLMs) without additional training. Existing approaches to vision-languag…
cs.CV2025
From Static to Dynamic: a Survey of Topology-Aware Perception in Autonomous Driving
Yixiao Chen, Ruining Yang, Xin Chen +3
The key to achieving autonomous driving lies in topology-aware perception, the structured understanding of the driving environment with an emphasis on lane topology and road semant…
cs.CV2025
Are VLMs Ready for Lane Topology Awareness in Autonomous Driving?
Xin Chen, Jia He, Maozheng Li +5
Vision-Language Models (VLMs) have recently shown remarkable progress in multimodal reasoning, yet their applications in autonomous driving remain limited. In particular, the abili…