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 11011150 of 6092 papers

TitleStatusHype
CoLMDriver: LLM-based Negotiation Benefits Cooperative Autonomous DrivingCode1
Deep Learning for 3D Point Cloud Understanding: A SurveyCode1
ABNet: Attention BarrierNet for Safe and Scalable Robot LearningCode1
DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous DrivingCode1
Deep Learning for 3D Point Clouds: A SurveyCode1
Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP BenchmarkCode1
Domain Adaptation Through Task DistillationCode1
Multimodal Virtual Point 3D DetectionCode1
COME: Adding Scene-Centric Forecasting Control to Occupancy World ModelCode1
Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point CloudsCode1
Multi-View Adaptive Fusion Network for 3D Object DetectionCode1
Neural Scene Flow PriorCode1
DenseTNT: End-to-end Trajectory Prediction from Dense Goal SetsCode1
DenseTNT: Waymo Open Dataset Motion Prediction Challenge 1st Place SolutionCode1
MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud SequencesCode1
Depth-based 6DoF Object Pose Estimation using Swin TransformerCode1
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous DrivingCode1
MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous DrivingCode1
Comparison Of Deep Object Detectors On A New Vulnerable Pedestrian DatasetCode1
Detecting 32 Pedestrian Attributes for Autonomous VehiclesCode1
Detecting Multi-Sensor Fusion Errors in Advanced Driver-Assistance SystemsCode1
Differentiable Raycasting for Self-supervised Occupancy ForecastingCode1
DDD17: End-To-End DAVIS Driving DatasetCode1
PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous DrivingCode1
A Simple and Efficient Multi-task Network for 3D Object Detection and Road UnderstandingCode1
Development of a hand gesture based control interface using Deep LearningCode1
Deep Federated Learning for Autonomous DrivingCode1
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasksCode1
Co-Fix3D: Enhancing 3D Object Detection with Collaborative RefinementCode1
A Dual-Cycled Cross-View Transformer Network for Unified Road Layout Estimation and 3D Object Detection in the Bird's-Eye-ViewCode1
DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within DatasetsCode1
DiffuBox: Refining 3D Object Detection with Point DiffusionCode1
CODiT: Conformal Out-of-Distribution Detection in Time-Series DataCode1
CoDiff: Conditional Diffusion Model for Collaborative 3D Object DetectionCode1
MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least SquareCode1
DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based LocalizationCode1
DARTH: Holistic Test-time Adaptation for Multiple Object TrackingCode1
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View MapsCode1
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object DetectionCode1
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty QuantificationCode1
DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular VideosCode1
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic SegmentationCode1
Motion Prediction Using Temporal Inception ModuleCode1
Distributional Pareto-Optimal Multi-Objective Reinforcement LearningCode1
CAFuser: Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving ScenesCode1
Domain Adaptation based Object Detection for Autonomous Driving in Foggy and Rainy WeatherCode1
Diverse and Admissible Trajectory Prediction through Multimodal Context UnderstandingCode1
MotionCNN: A Strong Baseline for Motion Prediction in Autonomous DrivingCode1
SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation ModelsCode1
CO^3: Cooperative Unsupervised 3D Representation Learning for 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