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 501550 of 6092 papers

TitleStatusHype
Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory PredictionCode1
DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For DrivingCode1
Geometry-based Distance Decomposition for Monocular 3D Object DetectionCode1
GUARD: A Safe Reinforcement Learning BenchmarkCode1
StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential EquationCode1
FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object DetectionCode1
DeepIPC: Deeply Integrated Perception and Control for an Autonomous Vehicle in Real EnvironmentsCode1
Deep Learning for 3D Point Cloud Understanding: A SurveyCode1
Ground-aware Monocular 3D Object Detection for Autonomous DrivingCode1
A proposal for Multimodal Emotion Recognition using aural transformers and Action Units on RAVDESS datasetCode1
PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous DrivingCode1
Adaptive Bounding Box Uncertainties via Two-Step Conformal PredictionCode1
Deep Federated Learning for Autonomous DrivingCode1
Fusing Event-based and RGB camera for Robust Object Detection in Adverse ConditionsCode1
Deep Learning for 3D Point Clouds: A SurveyCode1
FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous DrivingCode1
Fusion is Not Enough: Single Modal Attacks on Fusion Models for 3D Object DetectionCode1
An Efficient Domain-Incremental Learning Approach to Drive in All Weather ConditionsCode1
DDD17: End-To-End DAVIS Driving DatasetCode1
An Efficient Convex Hull-based Vehicle Pose Estimation Method for 3D LiDARCode1
An Efficient Approach to Generate Safe Drivable Space by LiDAR-Camera-HDmap FusionCode1
DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based LocalizationCode1
DARTH: Holistic Test-time Adaptation for Multiple Object TrackingCode1
DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within DatasetsCode1
Deep Learning for Omnidirectional Vision: A Survey and New PerspectivesCode1
End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agentCode1
FuseVis: Interpreting neural networks for image fusion using per-pixel saliency visualizationCode1
GANet: Goal Area Network for Motion ForecastingCode1
Anchor-free Small-scale Multispectral Pedestrian DetectionCode1
From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel ObjectsCode1
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving ModelsCode1
From Shadows to Safety: Occlusion Tracking and Risk Mitigation for Urban Autonomous DrivingCode1
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point BlendingCode1
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic SegmentationCode1
Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object MotionCode1
4DenoiseNet: Adverse Weather Denoising from Adjacent Point CloudsCode1
Curricular Subgoals for Inverse Reinforcement LearningCode1
FriendNet: Detection-Friendly Dehazing NetworkCode1
CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy LearningCode1
Deep learning for radar data exploitation of autonomous vehicleCode1
Cross-modal Learning for Domain Adaptation in 3D Semantic SegmentationCode1
Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning ApproachCode1
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object DetectionCode1
FOVEA: Foveated Image Magnification for Autonomous NavigationCode1
CRN: Camera Radar Net for Accurate, Robust, Efficient 3D PerceptionCode1
CROON: Automatic Multi-LiDAR Calibration and Refinement Method in Road SceneCode1
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic SegmentationCode1
CR3DT: Camera-RADAR Fusion for 3D Detection and TrackingCode1
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
Frequency-based Matcher for Long-tailed Semantic SegmentationCode1
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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