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 526550 of 6092 papers

TitleStatusHype
End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agentCode1
FuseVis: Interpreting neural networks for image fusion using per-pixel saliency visualizationCode1
GANet: Goal Area Network for Motion ForecastingCode1
Anchor-free Small-scale Multispectral Pedestrian DetectionCode1
From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel ObjectsCode1
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving ModelsCode1
From Shadows to Safety: Occlusion Tracking and Risk Mitigation for Urban Autonomous DrivingCode1
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point BlendingCode1
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic SegmentationCode1
Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object MotionCode1
4DenoiseNet: Adverse Weather Denoising from Adjacent Point CloudsCode1
Curricular Subgoals for Inverse Reinforcement LearningCode1
FriendNet: Detection-Friendly Dehazing NetworkCode1
CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy LearningCode1
Deep learning for radar data exploitation of autonomous vehicleCode1
Cross-modal Learning for Domain Adaptation in 3D Semantic SegmentationCode1
Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning ApproachCode1
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object DetectionCode1
FOVEA: Foveated Image Magnification for Autonomous NavigationCode1
CRN: Camera Radar Net for Accurate, Robust, Efficient 3D PerceptionCode1
CROON: Automatic Multi-LiDAR Calibration and Refinement Method in Road SceneCode1
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic SegmentationCode1
CR3DT: Camera-RADAR Fusion for 3D Detection and TrackingCode1
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
Frequency-based Matcher for Long-tailed Semantic SegmentationCode1
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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