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 2130 of 2605 papers

TitleStatusHype
GSPR: Multimodal Place Recognition Using 3D Gaussian Splatting for Autonomous DrivingCode2
CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse TransformersCode2
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with TransformersCode2
Distilling Diffusion Models to Efficient 3D LiDAR Scene CompletionCode2
DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam VideosCode2
DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and Social ExperiencesCode2
Certified Human Trajectory PredictionCode2
Flow: A Modular Learning Framework for Mixed Autonomy TrafficCode2
GaussRender: Learning 3D Occupancy with Gaussian RenderingCode2
3D LiDAR Mapping in Dynamic Environments Using a 4D Implicit Neural RepresentationCode2
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Benchmark Results

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