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 2501–2525 of 6092 papers

TitleStatusHype
Credal Bayesian Deep Learning—0
Decentralized multi-agent reinforcement learning algorithm using a cluster-synchronized laser network—0
Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations—0
DDU-Net: Dual-Decoder-U-Net for Road Extraction Using High-Resolution Remote Sensing Images—0
Modified DDPG car-following model with a real-world human driving experience with CARLA simulator—0
A Unified Model Selection Technique for Spectral Clustering Based Motion Segmentation—0
DDK: A Deep Koopman Approach for Dynamics Modeling and Trajectory Tracking of Autonomous Vehicles—0
A Unified Framework for Online Trip Destination Prediction—0
DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection—0
AUKT: Adaptive Uncertainty-Guided Knowledge Transfer with Conformal Prediction—0
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles—0
Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control—0
DAWN: Vehicle Detection in Adverse Weather Nature Dataset—0
D-Aug: Enhancing Data Augmentation for Dynamic LiDAR Scenes—0
Augmenting Vehicle Localization by Cooperative Sensing of the Driving Environment: Insight on Data Association in Urban Traffic Scenarios—0
Data Smells in Public Datasets—0
Datasets for Lane Detection in Autonomous Driving: A Comprehensive Review—0
AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations—0
Dataset for Robust and Accurate Leading Vehicle Velocity Recognition—0
Data Scaling Laws for End-to-End Autonomous Driving—0
A Generic Approach to Integrating Time into Spatial-Temporal Forecasting via Conditional Neural Fields—0
Diffusion Models for Safety Validation of Autonomous Driving Systems—0
Data Quality in Edge Machine Learning: A State-of-the-Art Survey—0
Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection—0
Augmented Reality based Simulated Data (ARSim) with multi-view consistency for AV perception networks—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