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 12011250 of 6092 papers

TitleStatusHype
A Survey of World Models for Autonomous DrivingCode1
Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point CloudsCode1
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World AttacksCode1
COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous DrivingCode1
Offboard Occupancy Refinement with Hybrid Propagation for Autonomous DrivingCode1
SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation ModelsCode1
CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous DrivingCode1
Depth-based 6DoF Object Pose Estimation using Swin TransformerCode1
Object-Aware Domain Generalization for Object DetectionCode1
COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked VehiclesCode1
Enhancing System-Level Safety in Mixed-Autonomy Platoon via Safe Reinforcement LearningCode1
Coordinated PSO-PID based longitudinal control with LPV-MPC based lateral control for autonomous vehiclesCode1
Object DGCNN: 3D Object Detection using Dynamic GraphsCode1
Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous DrivingCode1
A Survey on Deep Learning Technique for Video SegmentationCode1
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous VehiclesCode1
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular CamerasCode1
PillarTrack:Boosting Pillar Representation for Transformer-based 3D Single Object Tracking on Point CloudsCode1
CMRNet++: Map and Camera Agnostic Monocular Visual Localization in LiDAR MapsCode1
CoSDH: Communication-Efficient Collaborative Perception via Supply-Demand Awareness and Intermediate-Late HybridizationCode1
Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch AttacksCode1
Pixel Level Segmentation Based Drivable Road Region Detection and Steering Angle Estimation Method for Autonomous Driving on Unstructured RoadsCode1
DeepReach: A Deep Learning Approach to High-Dimensional ReachabilityCode1
OAFuser: Towards Omni-Aperture Fusion for Light Field Semantic SegmentationCode1
Event-aided Semantic Scene CompletionCode1
Asynchronous Blob Tracker for Event CamerasCode1
Deep Learning for Vision-based Prediction: A SurveyCode1
COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy PredictionCode1
Deep Metric Learning for Open World Semantic SegmentationCode1
Explainable Object-induced Action Decision for Autonomous VehiclesCode1
Exploring Simple 3D Multi-Object Tracking for Autonomous DrivingCode1
CLRmatchNet: Enhancing Curved Lane Detection with Deep Matching ProcessCode1
Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic SegmentationCode1
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic SegmentationCode1
Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous DrivingCode1
Exploring Attention GAN for Vehicle Motion PredictionCode1
Exploring Navigation Maps for Learning-Based Motion PredictionCode1
Exploring Map-based Features for Efficient Attention-based Vehicle Motion PredictionCode1
CLRKDNet: Speeding up Lane Detection with Knowledge DistillationCode1
CR3DT: Camera-RADAR Fusion for 3D Detection and TrackingCode1
Deep learning for radar data exploitation of autonomous vehicleCode1
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud AttacksCode1
A Review and Comparative Study on Probabilistic Object Detection in Autonomous DrivingCode1
Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous DrivingCode1
NuPlan: A closed-loop ML-based planning benchmark for autonomous vehiclesCode1
Deep Learning for 3D Point Clouds: A SurveyCode1
Deep Learning for 3D Point Cloud Understanding: A SurveyCode1
Fast Kernel Scene FlowCode1
CRN: Camera Radar Net for Accurate, Robust, Efficient 3D PerceptionCode1
Normalizing Flow based Feature Synthesis for Outlier-Aware Object DetectionCode1
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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