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 351375 of 6092 papers

TitleStatusHype
A Comprehensive Survey on Evidential Deep Learning and Its ApplicationsCode2
ConceptFusion: Open-set Multimodal 3D MappingCode2
Motif Channel Opened in a White-Box: Stereo Matching via Motif Correlation GraphCode2
Complex-YOLO: Real-time 3D Object Detection on Point CloudsCode2
MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention QueryingCode2
Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and RoadmapCode2
Fast-BEV: Towards Real-time On-vehicle Bird's-Eye View PerceptionCode2
A Review of Safe Reinforcement Learning: Methods, Theory and ApplicationsCode2
A Simple and Model-Free Path Filtering Algorithm for Smoothing and AccuracyCode2
Multi-Space Alignments Towards Universal LiDAR SegmentationCode2
FB-OCC: 3D Occupancy Prediction based on Forward-Backward View TransformationCode2
A real-time dynamic obstacle tracking and mapping system for UAV navigation and collision avoidance with an RGB-D cameraCode2
Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous DrivingCode2
Controllable 3D Outdoor Scene Generation via Scene GraphsCode2
Enhancing Vectorized Map Perception with Historical Rasterized MapsCode2
NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving ScenarioCode2
CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk MinimizationCode2
OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy PredictionCode2
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language ModelsCode2
OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free EnvironmentsCode2
A Simple Framework for 3D Occupancy Estimation in Autonomous DrivingCode2
Exploring the Causality of End-to-End Autonomous DrivingCode2
ONCE-3DLanes: Building Monocular 3D Lane DetectionCode2
On Deep Learning for Geometric and Semantic Scene Understanding Using On-Vehicle 3D LiDARCode2
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of VehiclesCode2
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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