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 3201–3225 of 6092 papers

TitleStatusHype
Attention-based Adversarial Appearance Learning of Augmented Pedestrians—0
Attention-based U-Net Method for Autonomous Lane Detection—0
Attention-Enhanced Cross-modal Localization Between 360 Images and Point Clouds—0
Attention for Adversarial Attacks: Learning from your Mistakes—0
Attention Mechanism for Contrastive Learning in GAN-based Image-to-Image Translation—0
Attention, Please! PixelSHAP Reveals What Vision-Language Models Actually Focus On—0
RPR-Net: A Point Cloud-based Rotation-aware Large Scale Place Recognition Network—0
Attribution-based XAI Methods in Computer Vision: A Review—0
AttTrack: Online Deep Attention Transfer for Multi-object Tracking—0
A two-stage data association approach for 3D Multi-object Tracking—0
AugMapNet: Improving Spatial Latent Structure via BEV Grid Augmentation for Enhanced Vectorized Online HD Map Construction—0
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier—0
Augmented Intelligence in Smart Intersections: Local Digital Twins-Assisted Hybrid Autonomous Driving—0
Augmented Reality based Simulated Data (ARSim) with multi-view consistency for AV perception networks—0
Augmenting Vehicle Localization by Cooperative Sensing of the Driving Environment: Insight on Data Association in Urban Traffic Scenarios—0
AUKT: Adaptive Uncertainty-Guided Knowledge Transfer with Conformal Prediction—0
A Unified Framework for Online Trip Destination Prediction—0
A Unified Model Selection Technique for Spectral Clustering Based Motion Segmentation—0
AuthSim: Towards Authentic and Effective Safety-critical Scenario Generation for Autonomous Driving Tests—0
AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection—0
Auto-calibration Method Using Stop Signs for Urban Autonomous Driving Applications—0
AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning—0
AutoDrive-QA- Automated Generation of Multiple-Choice Questions for Autonomous Driving Datasets Using Large Vision-Language Models—0
AutoEncoding Tree for City Generation and Applications—0
AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous 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