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 19011910 of 6092 papers

TitleStatusHype
Exploring Real World Map Change Generalization of Prior-Informed HD Map Prediction Models0
Can LLMs Understand Social Norms in Autonomous Driving Games?0
BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance0
DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory0
A Customizable Dynamic Scenario Modeling and Data Generation Platform for Autonomous Driving0
A Novel Algorithm for Exact Concave Hull Extraction0
Multi-task UNet architecture for end-to-end autonomous driving0
End-to-End on-device Federated Learning: A case study0
Exploring Reliable Matching with Phase Enhancement for Night-time Semantic Segmentation0
A Multi-Stage Clustering Framework for Automotive Radar Data0
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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