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 2650 of 6092 papers

TitleStatusHype
A Survey on Vision-Language-Action Models for Autonomous DrivingCode4
End-to-end Autonomous Driving: Challenges and FrontiersCode4
GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy PredictionCode4
S^3Gaussian: Self-Supervised Street Gaussians for Autonomous DrivingCode4
EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense PredictionCode4
OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action ModelCode4
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous DrivingCode4
OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous DrivingCode4
Is Sora a World Simulator? A Comprehensive Survey on General World Models and BeyondCode4
Multimodal Chain-of-Thought Reasoning: A Comprehensive SurveyCode4
OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual ReasoningCode4
End-to-End Autonomous Driving through V2X CooperationCode4
Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and RecipeCode4
Diffusion-Based Planning for Autonomous Driving with Flexible GuidanceCode4
Planning-oriented Autonomous DrivingCode4
3D Scene Generation: A SurveyCode4
Generative AI for Autonomous Driving: Frontiers and OpportunitiesCode3
Geometric-aware Pretraining for Vision-centric 3D Object DetectionCode3
Generalized Trajectory Scoring for End-to-end Multimodal PlanningCode3
Generalizing Motion Planners with Mixture of Experts for Autonomous DrivingCode3
GaussTR: Foundation Model-Aligned Gaussian Transformer for Self-Supervised 3D Spatial UnderstandingCode3
GenAD: Generative End-to-End Autonomous DrivingCode3
Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous DrivingCode3
Epona: Autoregressive Diffusion World Model for Autonomous DrivingCode3
End-to-End Driving with Online Trajectory Evaluation via BEV World ModelCode3
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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