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 11261150 of 6092 papers

TitleStatusHype
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from VisionCode1
Does Thermal data make the detection systems more reliable?Code1
Which priors matter? Benchmarking models for learning latent dynamicsCode1
Neural Scene Flow PriorCode1
Robustness via Uncertainty-aware Cycle ConsistencyCode1
A Versatile and Efficient Reinforcement Learning Framework for Autonomous DrivingCode1
Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic SegmentationCode1
K-Lane: Lidar Lane Dataset and Benchmark for Urban Roads and HighwaysCode1
Generalized Out-of-Distribution Detection: A SurveyCode1
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D QueriesCode1
Object DGCNN: 3D Object Detection using Dynamic GraphsCode1
Deep Federated Learning for Autonomous DrivingCode1
Camera Calibration through Camera Projection LossCode1
Injecting Planning-Awareness into Prediction and Detection EvaluationCode1
SVG-Net: An SVG-based Trajectory Prediction ModelCode1
Prioritized Experience-based Reinforcement Learning with Human Guidance for Autonomous DrivingCode1
Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous DrivingCode1
Semantic Segmentation-assisted Scene Completion for LiDAR Point CloudsCode1
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection ScenariosCode1
Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNsCode1
SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous DrivingCode1
Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVLCode1
A Divide-and-Merge Point Cloud Clustering Algorithm for LiDAR Panoptic SegmentationCode1
Detecting Multi-Sensor Fusion Errors in Advanced Driver-Assistance SystemsCode1
NEAT: Neural Attention Fields for End-to-End Autonomous DrivingCode1
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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