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 5901–5925 of 6092 papers

TitleStatusHype
3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare—0
PeerNets: Exploiting Peer Wisdom Against Adversarial AttacksCode0
Foresee: Attentive Future Projections of Chaotic Road Environments with Online Training—0
Novel Video Prediction for Large-scale Scene using Optical Flow—0
Propagating Confidences through CNNs for Sparse Data RegressionCode0
Semantic Road Layout Understanding by Generative Adversarial Inpainting—0
What Face and Body Shapes Can Tell About Height—0
A Data-Driven Approach for Autonomous Motion Planning and Control in Off-Road Driving Scenarios—0
VisualBackProp for learning using privileged information with CNNs—0
End-to-end driving simulation via angle branched network—0
Scene Understanding Networks for Autonomous Driving based on Around View Monitoring System—0
Counterexample-Guided Data AugmentationCode0
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density NetworksCode0
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks—0
DeLS-3D: Deep Localization and Segmentation with a 3D Semantic MapCode0
LMNet: Real-time Multiclass Object Detection on CPU using 3D LiDARCode0
Improving Predictive Uncertainty Estimation using Dropout -- Hamiltonian Monte Carlo—0
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask LearningCode1
Loss-Calibrated Approximate Inference in Bayesian Neural NetworksCode0
A Mixed Classification-Regression Framework for 3D Pose Estimation from 2D ImagesCode0
Verisimilar Percept Sequences Tests for Autonomous Driving Intelligent Agent Assessment—0
Failure Prediction for Autonomous Driving—0
Improve Uncertainty Estimation for Unknown Classes in Bayesian Neural Networks with Semi-Supervised /One Set Classification—0
Localized Traffic Sign Detection with Multi-scale Deconvolution Networks—0
Interaction-Aware Probabilistic Behavior Prediction in Urban Environments—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