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 12261250 of 6092 papers

TitleStatusHype
Human Performance Capture from Monocular Video in the WildCode1
DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving ScenesCode1
DriveCamSim: Generalizable Camera Simulation via Explicit Camera Modeling for Autonomous DrivingCode1
DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous DrivingCode1
CLRmatchNet: Enhancing Curved Lane Detection with Deep Matching ProcessCode1
CLRKDNet: Speeding up Lane Detection with Knowledge DistillationCode1
IFTR: An Instance-Level Fusion Transformer for Visual Collaborative PerceptionCode1
A Review and Comparative Study on Probabilistic Object Detection in Autonomous DrivingCode1
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic SegmentationCode1
DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For DrivingCode1
Implicit Guidance and Explicit Representation of Semantic Information in Points Cloud: A SurveyCode1
Improved Deep Point Cloud Geometry CompressionCode1
Domain-invariant Similarity Activation Map Contrastive Learning for Retrieval-based Long-term Visual LocalizationCode1
Accurate Automatic 3D Annotation of Traffic Lights and Signs for Autonomous DrivingCode1
CR3DT: Camera-RADAR Fusion for 3D Detection and TrackingCode1
Domain generalization of 3D semantic segmentation in autonomous drivingCode1
Instruct Large Language Models to Drive like HumansCode1
Intelligent Resource Allocation in Joint Radar-Communication With Graph Neural NetworksCode1
Interaction-Aware Planning With Deep Inverse Reinforcement Learning for Human-Like Autonomous Driving in Merge ScenariosCode1
DOROTHIE: Spoken Dialogue for Handling Unexpected Situations in Interactive Autonomous Driving AgentsCode1
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement LearningCode1
Dream to Drive with Predictive Individual World ModelCode1
Domain Adaptation on Point Clouds via Geometry-Aware ImplicitsCode1
Domain Adaptation In Reinforcement Learning Via Latent Unified State RepresentationCode1
Domain Adaptation Through Task DistillationCode1
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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