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 48714880 of 6092 papers

TitleStatusHype
Data Fusion of Semantic and Depth Information in the Context of Object Detection0
Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection0
Data Quality in Edge Machine Learning: A State-of-the-Art Survey0
Data Scaling Laws for End-to-End Autonomous Driving0
Dataset for Robust and Accurate Leading Vehicle Velocity Recognition0
Datasets for Lane Detection in Autonomous Driving: A Comprehensive Review0
Data Smells in Public Datasets0
D-Aug: Enhancing Data Augmentation for Dynamic LiDAR Scenes0
DAWN: Vehicle Detection in Adverse Weather Nature Dataset0
DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection0
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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