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 71–80 of 6092 papers

TitleStatusHype
GaussTR: Foundation Model-Aligned Gaussian Transformer for Self-Supervised 3D Spatial UnderstandingCode3
GenAD: Generative End-to-End Autonomous DrivingCode3
Generalizing Motion Planners with Mixture of Experts for Autonomous DrivingCode3
HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking ScenariosCode3
Behavior Generation with Latent ActionsCode3
Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous DrivingCode3
End-to-End Driving with Online Trajectory Evaluation via BEV World ModelCode3
Enhancing End-to-End Autonomous Driving with Latent World ModelCode3
Epona: Autoregressive Diffusion World Model for Autonomous DrivingCode3
Embodied Understanding of Driving ScenariosCode3
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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