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 576600 of 6092 papers

TitleStatusHype
Deep Learning for Vision-based Prediction: A SurveyCode1
GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language ModelsCode1
3D Annotation-Free Learning by Distilling 2D Open-Vocabulary Segmentation Models for Autonomous DrivingCode1
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic SegmentationCode1
Geometric Deep Learning for Autonomous Driving: Unlocking the Power of Graph Neural Networks With CommonRoad-GeometricCode1
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point BlendingCode1
Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object MotionCode1
Curricular Subgoals for Inverse Reinforcement LearningCode1
GenMapping: Unleashing the Potential of Inverse Perspective Mapping for Robust Online HD Map ConstructionCode1
Geometry-based Distance Decomposition for Monocular 3D Object DetectionCode1
Always Clear Depth: Robust Monocular Depth Estimation under Adverse WeatherCode1
Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy PretrainingCode1
3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-labellingCode1
ALSO: Automotive Lidar Self-supervision by Occupancy estimationCode1
Action-Based Representation Learning for Autonomous DrivingCode1
Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning ApproachCode1
Cross-modal Learning for Domain Adaptation in 3D Semantic SegmentationCode1
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object DetectionCode1
Deep Metric Learning for Open World Semantic SegmentationCode1
ALOcc: Adaptive Lifting-based 3D Semantic Occupancy and Cost Volume-based Flow PredictionCode1
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point CloudsCode1
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
DiffuBox: Refining 3D Object Detection with Point DiffusionCode1
Efficient Baselines for Motion Prediction in Autonomous DrivingCode1
COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy PredictionCode1
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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