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

Showing 501525 of 6092 papers

TitleStatusHype
Exploring Point-BEV Fusion for 3D Point Cloud Object Tracking with TransformerCode1
GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction ModelCode1
Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous DrivingCode1
ES-Net: An Efficient Stereo Matching NetworkCode1
Enhancing System-Level Safety in Mixed-Autonomy Platoon via Safe Reinforcement LearningCode1
Estimating the Magnitude and Phase of Automotive Radar Signals under Multiple Interference Sources with Fully Convolutional NetworksCode1
Enhancing 6-DoF Object Pose Estimation through Multiple Modality Fusion: A Hybrid CNN Architecture with Cross-Layer and Cross-Modal IntegrationCode1
Enhancing Dropout-based Bayesian Neural Networks with Multi-Exit on FPGACode1
End-to-End Urban Driving by Imitating a Reinforcement Learning CoachCode1
A proposal for Multimodal Emotion Recognition using aural transformers and Action Units on RAVDESS datasetCode1
Ev-3DOD: Pushing the Temporal Boundaries of 3D Object Detection with Event CamerasCode1
Exploring Simple 3D Multi-Object Tracking for Autonomous DrivingCode1
FinnWoodlands DatasetCode1
Empirical Performance Evaluation of Lane Keeping Assist on Modern Production VehiclesCode1
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance SystemsCode1
End-to-end Autonomous Driving Perception with Sequential Latent Representation LearningCode1
Adaptive Bounding Box Uncertainties via Two-Step Conformal PredictionCode1
Efficient Visual Computing with Camera RAW SnapshotsCode1
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and PriorsCode1
A Simple and Efficient Multi-task Network for 3D Object Detection and Road UnderstandingCode1
Efficient Risk-Averse Reinforcement LearningCode1
An Efficient Domain-Incremental Learning Approach to Drive in All Weather ConditionsCode1
Efficient Baselines for Motion Prediction in Autonomous DrivingCode1
An Efficient Convex Hull-based Vehicle Pose Estimation Method for 3D LiDARCode1
An Efficient Approach to Generate Safe Drivable Space by LiDAR-Camera-HDmap FusionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95Unverified
2InterFuserDriving Score76.18Unverified
3TCPDriving Score75.14Unverified
4TF++ WPDriving Score66.32Unverified
5Learning From All Vehicles (LAV)Driving Score61.85Unverified
6TransFuserDriving Score61.18Unverified
7TransFuser (Reproduced)Driving Score55.04Unverified
8TCP (Reproduced)Driving Score47.91Unverified
9Latent TransFuserDriving Score45.2Unverified
10GRIADDriving Score36.79Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17Unverified
2TransFuserRC56.36Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91Unverified
2TransFuserRC78.41Unverified