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 10011025 of 6092 papers

TitleStatusHype
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic SegmentationCode1
LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model ProgramsCode1
Lossless SIMD Compression of LiDAR Range and Attribute Scan SequencesCode1
Lane Change Decision-Making through Deep Reinforcement LearningCode1
LUCIDGames: onLine UnsCented Inverse Dynamic Games forAdaptive Trajectory Prediction and PlanningCode1
Lane Graph Estimation for Scene Understanding in Urban DrivingCode1
CenterNet3D: An Anchor Free Object Detector for Point CloudCode1
3D Gaussian Splatting against Moving Objects for High-Fidelity Street Scene ReconstructionCode1
Language Prompt for Autonomous DrivingCode1
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic SegmentationCode1
Large Language Models Powered Context-aware Motion Prediction in Autonomous DrivingCode1
Large-scale moral machine experiment on large language modelsCode1
LongShortNet: Exploring Temporal and Semantic Features Fusion in Streaming PerceptionCode1
LOPR: Latent Occupancy PRediction using Generative ModelsCode1
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point BlendingCode1
Lossless Point Cloud Geometry and Attribute Compression Using a Learned Conditional Probability ModelCode1
LWSIS: LiDAR-guided Weakly Supervised Instance Segmentation for Autonomous DrivingCode1
Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G NetworksCode1
Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning ApproachCode1
R3eVision: A Survey on Robust Rendering, Restoration, and Enhancement for 3D Low-Level VisionCode1
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?Code1
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
Differential Viewpoints for Ground Terrain Material RecognitionCode1
Cross-modal Learning for Domain Adaptation in 3D Semantic SegmentationCode1
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object DetectionCode1
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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