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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1981–1990 of 6092 papers

TitleStatusHype
Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder—0
Heuristic Optimization of Amplifier Reconfiguration Process for Autonomous Driving Optical Networks—0
WcDT: World-centric Diffusion Transformer for Traffic Scene GenerationCode1
Improving Bird's Eye View Semantic Segmentation by Task Decomposition—0
Versatile Navigation under Partial Observability via Value-guided Diffusion Policy—0
ML KPI Prediction in 5G and B5G Networks—0
QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving—0
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression TasksCode1
End-to-End Autonomous Driving through V2X CooperationCode4
Adapting to Length Shift: FlexiLength Network for Trajectory Prediction—0
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Benchmark Results

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