Introduces a synchronized cross-view urban traffic dataset with drone ground truth for identity matching and monocular BEV localization tasks.
arXiv preprint arXiv:2103.05423 (2021) 2
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A CLIP-aligned transformer pretrained on multi-view RGB-Pointmap inputs with cross-view geometric and grounded view alignment yields unified 3D scene features that transfer to several scene-understanding tasks.
A survey of trajectory prediction techniques for autonomous vehicles that proposes a taxonomy, overviews the prediction pipeline, and highlights remaining research gaps.
citing papers explorer
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Cross-View Urban Traffic Dataset: Drone-Supervised Ground Truth for Monocular Bird's-Eye View Localization
Introduces a synchronized cross-view urban traffic dataset with drone ground truth for identity matching and monocular BEV localization tasks.
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RGB-Pointmap Pretraining for Unified 3D Scene Understanding
A CLIP-aligned transformer pretrained on multi-view RGB-Pointmap inputs with cross-view geometric and grounded view alignment yields unified 3D scene features that transfer to several scene-understanding tasks.
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Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions
A survey of trajectory prediction techniques for autonomous vehicles that proposes a taxonomy, overviews the prediction pipeline, and highlights remaining research gaps.