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 701750 of 6092 papers

TitleStatusHype
DEFLOW: Self-supervised 3D Motion Estimation of Debris FlowCode1
Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point CloudsCode1
MambaST: A Plug-and-Play Cross-Spectral Spatial-Temporal Fuser for Efficient Pedestrian DetectionCode1
A Unified Probabilistic Approach to Traffic Conflict DetectionCode1
A Hybrid Sparse-Dense Monocular SLAM System for Autonomous DrivingCode1
DenseTNT: End-to-end Trajectory Prediction from Dense Goal SetsCode1
Det6D: A Ground-Aware Full-Pose 3D Object Detector for Improving Terrain RobustnessCode1
Depth-based 6DoF Object Pose Estimation using Swin TransformerCode1
DriveTester: A Unified Platform for Simulation-Based Autonomous Driving TestingCode1
Injecting Planning-Awareness into Prediction and Detection EvaluationCode1
Interpretable Self-Aware Neural Networks for Robust Trajectory PredictionCode1
Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World ModelsCode1
Detecting 32 Pedestrian Attributes for Autonomous VehiclesCode1
Detecting Every Object from EventsCode1
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D QueriesCode1
A Unified Query-based Paradigm for Point Cloud UnderstandingCode1
From Recognition to Prediction: Analysis of Human Action and Trajectory Prediction in VideoCode1
IMGCN: Interpretable Masked Graph Convolution Network for Pedestrian Trajectory PredictionCode1
Curricular Subgoals for Inverse Reinforcement LearningCode1
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent ForecastingCode1
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point BlendingCode1
Autonomous driving using GA-optimized neural network based adaptive LPV-MPC controllerCode1
Implicit Guidance and Explicit Representation of Semantic Information in Points Cloud: A SurveyCode1
Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning ApproachCode1
Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous DrivingCode1
A Concise but High-performing Network for Image Guided Depth Completion in Autonomous DrivingCode1
DiFSD: Ego-Centric Fully Sparse Paradigm with Uncertainty Denoising and Iterative Refinement for Efficient End-to-End Self-DrivingCode1
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving ScenesCode1
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular VideosCode1
3D Object Detection from Images for Autonomous Driving: A SurveyCode1
Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation MapsCode1
DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge DistillationCode1
Distributional Pareto-Optimal Multi-Objective Reinforcement LearningCode1
Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object MotionCode1
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable SimulationCode1
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object DetectionCode1
Cross-modal Learning for Domain Adaptation in 3D Semantic SegmentationCode1
Domain Adaptation In Reinforcement Learning Via Latent Unified State RepresentationCode1
Domain Adaptation on Point Clouds via Geometry-Aware ImplicitsCode1
Domain Adaptive Object Detection for Autonomous Driving under Foggy WeatherCode1
AutoShape: Real-Time Shape-Aware Monocular 3D Object DetectionCode1
IGDrivSim: A Benchmark for the Imitation Gap in Autonomous DrivingCode1
CRN: Camera Radar Net for Accurate, Robust, Efficient 3D PerceptionCode1
CROON: Automatic Multi-LiDAR Calibration and Refinement Method in Road SceneCode1
3D-AVS: LiDAR-based 3D Auto-Vocabulary SegmentationCode1
Image Masking for Robust Self-Supervised Monocular Depth EstimationCode1
Lane Change Classification and Prediction with Action Recognition NetworksCode1
A Two-Stage Masked Autoencoder Based Network for Indoor Depth CompletionCode1
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR 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