SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle 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: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

Showing 11511175 of 6092 papers

TitleStatusHype
DriveTester: A Unified Platform for Simulation-Based Autonomous Driving TestingCode1
DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous DrivingCode1
3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous DrivingCode1
FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point CloudsCode1
Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous DrivingCode1
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular CamerasCode1
Fine-Grained Vehicle Perception via 3D Part-Guided Visual Data AugmentationCode1
FinnWoodlands DatasetCode1
Co-Fix3D: Enhancing 3D Object Detection with Collaborative RefinementCode1
A Dual-Cycled Cross-View Transformer Network for Unified Road Layout Estimation and 3D Object Detection in the Bird's-Eye-ViewCode1
Flexible Diffusion Modeling of Long VideosCode1
Flow4D: Leveraging 4D Voxel Network for LiDAR Scene Flow EstimationCode1
CODiT: Conformal Out-of-Distribution Detection in Time-Series DataCode1
CoDiff: Conditional Diffusion Model for Collaborative 3D Object DetectionCode1
Context-Aware Interaction Network for RGB-T Semantic SegmentationCode1
Fooling Detection Alone is Not Enough: Adversarial Attack against Multiple Object TrackingCode1
DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving ScenesCode1
Frequency-based Matcher for Long-tailed Semantic SegmentationCode1
DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion GenerationCode1
Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion ForecastingCode1
DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous DrivingCode1
From Shadows to Safety: Occlusion Tracking and Risk Mitigation for Urban Autonomous DrivingCode1
SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation ModelsCode1
End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agentCode1
CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous DrivingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95Unverified
2InterFuserDriving Score76.18Unverified
3TCPDriving Score75.14Unverified
4TF++ WPDriving Score66.32Unverified
5Learning From All Vehicles (LAV)Driving Score61.85Unverified
6TransFuserDriving Score61.18Unverified
7TransFuser (Reproduced)Driving Score55.04Unverified
8TCP (Reproduced)Driving Score47.91Unverified
9Latent TransFuserDriving Score45.2Unverified
10GRIADDriving Score36.79Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17Unverified
2TransFuserRC56.36Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91Unverified
2TransFuserRC78.41Unverified