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Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives
Recent advancements in Vision-Language Models (VLMs) have sparked interest in their use
for autonomous driving, particularly in generating interpretable driving decisions through …
for autonomous driving, particularly in generating interpretable driving decisions through …
VDT-Auto: End-to-end Autonomous Driving with VLM-Guided Diffusion Transformers
In autonomous driving, dynamic environment and corner cases pose significant challenges
to the robustness of ego vehicle's decision-making. To address these challenges …
to the robustness of ego vehicle's decision-making. To address these challenges …
VLM-E2E: Enhancing End-to-End Autonomous Driving with Multimodal Driver Attention Fusion
Human drivers adeptly navigate complex scenarios by utilizing rich attentional semantics,
but the current autonomous systems struggle to replicate this ability, as they often lose …
but the current autonomous systems struggle to replicate this ability, as they often lose …