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 4876–4900 of 6092 papers

TitleStatusHype
Preprocessing Methods of Lane Detection and Tracking for Autonomous Driving—0
Occlusion Guided Self-supervised Scene Flow Estimation on 3D Point CloudsCode0
RaidaR: A Rich Annotated Image Dataset of Rainy Street Scenes—0
Smart and Secure CAV Networks Empowered by AI-Enabled Blockchain: The Next Frontier for Intelligent Safe Driving Assessment—0
A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular ControlCode0
TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild—0
Enhancing Object Detection for Autonomous Driving by Optimizing Anchor Generation and Addressing Class ImbalanceCode0
Few-Shot Meta-Learning on Point Cloud for Semantic Segmentation—0
Latent Space Regularization for Unsupervised Domain Adaptation in Semantic SegmentationCode0
Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses—0
Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation—0
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey—0
Autonomous Driving Data Chain & Interfaces—0
Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles—0
Perspective, Survey and Trends: Public Driving Datasets and Toolsets for Autonomous Driving Virtual Test—0
The Compact Support Neural Network—0
Hierarchical Road Topology Learning for Urban Map-less Driving—0
Full Surround Monodepth from Multiple Cameras—0
Repopulating Street Scenes—0
DynOcc: Learning Single-View Depth from Dynamic Occlusion Cues—0
DeepWORD: A GCN-based Approach for Owner-Member Relationship Detection in Autonomous Driving—0
Large Scale Autonomous Driving Scenarios Clustering with Self-supervised Feature Extraction—0
3D-MAN: 3D Multi-frame Attention Network for Object Detection—0
Multi-modal Trajectory Prediction for Autonomous Driving with Semantic Map and Dynamic Graph Attention Network—0
Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative Entropy Trust-Regions—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