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 901925 of 6092 papers

TitleStatusHype
Curricular Subgoals for Inverse Reinforcement LearningCode1
Geometric Deep Learning for Autonomous Driving: Unlocking the Power of Graph Neural Networks With CommonRoad-GeometricCode1
Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning ApproachCode1
GET-UP: GEomeTric-aware Depth Estimation with Radar Points UPsamplingCode1
A Survey on Deep Learning Technique for Video SegmentationCode1
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR SegmentationCode1
Latent Discriminant deterministic UncertaintyCode1
Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion PredictionCode1
LDNet: End-to-End Lane Marking Detection Approach Using a Dynamic Vision SensorCode1
Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic SegmentationCode1
CROON: Automatic Multi-LiDAR Calibration and Refinement Method in Road SceneCode1
CRN: Camera Radar Net for Accurate, Robust, Efficient 3D PerceptionCode1
Large-scale moral machine experiment on large language modelsCode1
GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNsCode1
A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future OutlookCode1
BSH-Det3D: Improving 3D Object Detection with BEV Shape HeatmapCode1
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object DetectionCode1
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic SegmentationCode1
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World AttacksCode1
CR3DT: Camera-RADAR Fusion for 3D Detection and TrackingCode1
A Survey of World Models for Autonomous DrivingCode1
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic SegmentationCode1
COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy PredictionCode1
Cross-modal Learning for Domain Adaptation in 3D Semantic SegmentationCode1
Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G NetworksCode1
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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