GaussianMap learns adaptive Gaussian primitives on the BEV plane from multi-sensor data to produce vectorized HD maps, reporting state-of-the-art results on nuScenes and Argoverse 2.
Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3verdicts
UNVERDICTED 3representative citing papers
GSDrive combines IL priors with RL feedback by probing multi-mode futures inside a 3D Gaussian Splatting simulator to supply dense rewards for closed-loop driving policy improvement on nuScenes.
CoFL learns continuous flow fields from BEV images and language instructions to generate navigation trajectories, outperforming modular VLM planners and trajectory policies on unseen scenes.
citing papers explorer
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GaussianMap: Learning Gaussian Representation for Multi-Sensor Online HD Map Construction
GaussianMap learns adaptive Gaussian primitives on the BEV plane from multi-sensor data to produce vectorized HD maps, reporting state-of-the-art results on nuScenes and Argoverse 2.
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GSDrive: Reinforcing Driving Policies by Multi-mode Future Trajectory Probing with 3D Gaussian Splatting Environment
GSDrive combines IL priors with RL feedback by probing multi-mode futures inside a 3D Gaussian Splatting simulator to supply dense rewards for closed-loop driving policy improvement on nuScenes.
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CoFL: Continuous Flow Fields for Language-Conditioned Navigation
CoFL learns continuous flow fields from BEV images and language instructions to generate navigation trajectories, outperforming modular VLM planners and trajectory policies on unseen scenes.