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Embodied Understanding of Driving Scenarios

Generalized Predictive Model for Autonomous Driving

Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation

Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection

Translating Images to Road Network: A Non-Autoregressive Sequence-to-Sequence Approach

Density-invariant Features for Distant Point Cloud Registration

DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving

OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping

Mimic before Reconstruct: Enhancing Masked Autoencoders with Feature Mimicking

Scene as Occupancy

POLICY PRE-TRAINING FOR AUTONOMOUS DRIVING VIA SELF-SUPERVISED GEOMETRIC MODELING

Delving into the Devils of Bird's-Eye-View Perception: A Review, Evaluation and Recipe

Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving

Sparse Dense Fusion for 3D Object Detection

Distilling Focal Knowledge from Imperfect Expert for 3D Object Detection

BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision

Stare at What You See: Masked Image Modeling without Reconstruction

Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine Approach

Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline

ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning

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