SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Showing 3140 of 2605 papers

TitleStatusHype
Distilling Diffusion Models to Efficient 3D LiDAR Scene CompletionCode2
Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous DrivingCode2
Flow: A Modular Learning Framework for Mixed Autonomy TrafficCode2
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with TransformersCode2
DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam VideosCode2
Toward Unified Practices in Trajectory Prediction Research on Bird's-Eye-View DatasetsCode2
ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous VehiclesCode2
CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse TransformersCode2
3D LiDAR Mapping in Dynamic Environments Using a 4D Implicit Neural RepresentationCode2
CC-3DT: Panoramic 3D Object Tracking via Cross-Camera FusionCode2
Show:102550
← PrevPage 4 of 261Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85Unverified
2GSNetA3DP20.21Unverified