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 13761400 of 6092 papers

TitleStatusHype
Pedestrian 3D Bounding Box PredictionCode1
Improved Deep Point Cloud Geometry CompressionCode1
IMGCN: Interpretable Masked Graph Convolution Network for Pedestrian Trajectory PredictionCode1
A Comprehensive Review of 3D Object Detection in Autonomous Driving: Technological Advances and Future DirectionsCode1
Persistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM ExtensionCode1
Deep learning for radar data exploitation of autonomous vehicleCode1
Implicit Guidance and Explicit Representation of Semantic Information in Points Cloud: A SurveyCode1
DeepIPC: Deeply Integrated Perception and Control for an Autonomous Vehicle in Real EnvironmentsCode1
Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous DrivingCode1
Deep Learning for Vision-based Prediction: A SurveyCode1
Aquatic Navigation: A Challenging Benchmark for Deep Reinforcement LearningCode1
Improving the Generalization of End-to-End Driving through Procedural GenerationCode1
Injecting Planning-Awareness into Prediction and Detection EvaluationCode1
Characterizing Driving Styles with Deep LearningCode1
Deep Metric Learning for Open World Semantic SegmentationCode1
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering BandwidthCode1
Instruct Large Language Models to Drive like HumansCode1
Integrated Decision and Control: Towards Interpretable and Computationally Efficient Driving IntelligenceCode1
Intelligent Resource Allocation in Joint Radar-Communication With Graph Neural NetworksCode1
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement LearningCode1
InteractionNet: Joint Planning and Prediction for Autonomous Driving with TransformersCode1
GANet: Goal Area Network for Motion ForecastingCode1
Deep Learning for Omnidirectional Vision: A Survey and New PerspectivesCode1
Deep Learning for 3D Point Clouds: A SurveyCode1
Depth-based 6DoF Object Pose Estimation using Swin TransformerCode1
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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