CLOVER is a closed-loop generator-scorer framework that expands proposal coverage with pseudo-expert trajectories and performs conservative self-distillation to achieve state-of-the-art planning scores on NAVSIM and nuScenes.
Openemma: Open-source multimodal model for end-to-end autonomous driving
3 Pith papers cite this work. Polarity classification is still indexing.
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AutoVLA unifies semantic reasoning and trajectory planning in one autoregressive VLA model for end-to-end autonomous driving by tokenizing trajectories into discrete actions and using GRPO reinforcement fine-tuning to adaptively reduce unnecessary reasoning.
OpenGaFF adds a geometry-conditioned Gaussian Feature Field and codebook-guided attention to 3D Gaussian Splatting for spatially consistent open-vocabulary 3D semantic understanding.
citing papers explorer
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CLOVER: Closed-Loop Value Estimation and Ranking for End-to-End Autonomous Driving Planning
CLOVER is a closed-loop generator-scorer framework that expands proposal coverage with pseudo-expert trajectories and performs conservative self-distillation to achieve state-of-the-art planning scores on NAVSIM and nuScenes.
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AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
AutoVLA unifies semantic reasoning and trajectory planning in one autoregressive VLA model for end-to-end autonomous driving by tokenizing trajectories into discrete actions and using GRPO reinforcement fine-tuning to adaptively reduce unnecessary reasoning.
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OpenGaFF: Open-Vocabulary Gaussian Feature Field with Codebook Attention
OpenGaFF adds a geometry-conditioned Gaussian Feature Field and codebook-guided attention to 3D Gaussian Splatting for spatially consistent open-vocabulary 3D semantic understanding.