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 841–850 of 6092 papers

TitleStatusHype
Generating Traffic Scenarios via In-Context Learning to Learn Better Motion PlannerCode1
AA-SGAN: Adversarially Augmented Social GAN with Synthetic DataCode0
Causal Composition Diffusion Model for Closed-loop Traffic Generation—0
OLiDM: Object-aware LiDAR Diffusion Models for Autonomous Driving—0
Feature Based Methods in Domain Adaptation for Object Detection: A Review Paper—0
DeepMF: Deep Motion Factorization for Closed-Loop Safety-Critical Driving Scenario Simulation—0
NumbOD: A Spatial-Frequency Fusion Attack Against Object DetectorsCode0
Lightweight Design and Optimization methods for DCNNs: Progress and Futures—0
Application of Multimodal Large Language Models in Autonomous Driving—0
Towards Selection and Transition Between Behavior-Based Neural Networks for Automated Driving—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