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 5351–5375 of 6092 papers

TitleStatusHype
Self-driving scale car trained by Deep reinforcement learning—0
Self-Ensemling for 3D Point Cloud Domain Adaption—0
Self-Interpretable Time Series Prediction with Counterfactual Explanations—0
Self-supervised classification of dynamic obstacles using the temporal information provided by videos—0
Self-supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness Using On-board Videos—0
Self-Supervised Domain Mismatch Estimation for Autonomous Perception—0
SelfOdom: Self-supervised Egomotion and Depth Learning via Bi-directional Coarse-to-Fine Scale Recovery—0
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss—0
Self-supervised learning for autonomous vehicles perception: A conciliation between analytical and learning methods—0
Self-supervised Learning for Pre-Training 3D Point Clouds: A Survey—0
Self-Supervised Multi-Frame Neural Scene Flow—0
Self-Supervised Multi-Object Tracking For Autonomous Driving From Consistency Across Timescales—0
Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving—0
Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map—0
Self Training Autonomous Driving Agent—0
SELMA: SEmantic Large-scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints—0
Evaluating Robustness to Context-Sensitive Feature Perturbations of Different Granularities—0
Semantically Adversarial Scenario Generation with Explicit Knowledge Guidance—0
Semantic and Feature Guided Uncertainty Quantification of Visual Localization for Autonomous Vehicles—0
SemanticBEVFusion: Rethink LiDAR-Camera Fusion in Unified Bird's-Eye View Representation for 3D Object Detection—0
Semantic Communication for Cooperative Perception using HARQ—0
Semantic Communication for Edge Intelligence Enabled Autonomous Driving System—0
SemanticFlow: A Self-Supervised Framework for Joint Scene Flow Prediction and Instance Segmentation in Dynamic Environments—0
Semantic Label Reduction Techniques for Autonomous Driving—0
SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances—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