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 3701–3710 of 6092 papers

TitleStatusHype
Deep Occupancy-Predictive Representations for Autonomous Driving—0
Deep Planar Parallax for Monocular Depth Estimation—0
Deep Point Set Resampling via Gradient Fields—0
Deep Q-Network Based Decision Making for Autonomous Driving—0
Deep Radar Inverse Sensor Models for Dynamic Occupancy Grid Maps—0
Deep Reinforcement Learning, a textbook—0
Deep Reinforcement Learning-Aided RAN Slicing Enforcement for B5G Latency Sensitive Services—0
Deep Reinforcement Learning-Based User Scheduling for Collaborative Perception—0
Deep Reinforcement Learning for Adverse Garage Scenario Generation—0
Deep Reinforcement Learning for Autonomous Driving: A Survey—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