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 451500 of 6092 papers

TitleStatusHype
FOVEA: Foveated Image Magnification for Autonomous NavigationCode1
Delving into Localization Errors for Monocular 3D Object DetectionCode1
DEFLOW: Self-supervised 3D Motion Estimation of Debris FlowCode1
Detecting 32 Pedestrian Attributes for Autonomous VehiclesCode1
Frequency-based Matcher for Long-tailed Semantic SegmentationCode1
End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agentCode1
FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object DetectionCode1
FocusFlow: Boosting Key-Points Optical Flow Estimation for Autonomous DrivingCode1
DeepReach: A Deep Learning Approach to High-Dimensional ReachabilityCode1
Fooling Detection Alone is Not Enough: Adversarial Attack against Multiple Object TrackingCode1
Flexible Diffusion Modeling of Long VideosCode1
Deep Learning for Vision-based Prediction: A SurveyCode1
Flow4D: Leveraging 4D Voxel Network for LiDAR Scene Flow EstimationCode1
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object TrackingCode1
Deep Learning for 3D Point Cloud Understanding: A SurveyCode1
Deep Learning for 3D Point Clouds: A SurveyCode1
Annealed Winner-Takes-All for Motion ForecastingCode1
An LSTM-Based Autonomous Driving Model Using Waymo Open DatasetCode1
DeepIPC: Deeply Integrated Perception and Control for an Autonomous Vehicle in Real EnvironmentsCode1
FipTR: A Simple yet Effective Transformer Framework for Future Instance Prediction in Autonomous DrivingCode1
Deep Federated Learning for Autonomous DrivingCode1
Deep learning for radar data exploitation of autonomous vehicleCode1
PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous DrivingCode1
Deep Metric Learning for Open World Semantic SegmentationCode1
Fine-Grained Vehicle Perception via 3D Part-Guided Visual Data AugmentationCode1
Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object DetectionCode1
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place RecognitionCode1
Deep Learning for Omnidirectional Vision: A Survey and New PerspectivesCode1
1st Place Solution for PVUW Challenge 2023: Video Panoptic SegmentationCode1
Fine-Grained Evaluation of Large Vision-Language Models in Autonomous DrivingCode1
Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point CloudsCode1
Delta Descriptors: Change-Based Place Representation for Robust Visual LocalizationCode1
FinnWoodlands DatasetCode1
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous DrivingCode1
FENet: Focusing Enhanced Network for Lane DetectionCode1
DDD17: End-To-End DAVIS Driving DatasetCode1
FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point CloudsCode1
FriendNet: Detection-Friendly Dehazing NetworkCode1
DenseTNT: Waymo Open Dataset Motion Prediction Challenge 1st Place SolutionCode1
Density-Insensitive Unsupervised Domain Adaption on 3D Object DetectionCode1
DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within DatasetsCode1
FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-tail Trajectory PredictionCode1
A Platform-Agnostic Deep Reinforcement Learning Framework for Effective Sim2Real Transfer towards Autonomous DrivingCode1
Det6D: A Ground-Aware Full-Pose 3D Object Detector for Improving Terrain RobustnessCode1
Few-Shot Backdoor Attacks on Visual Object TrackingCode1
Detecting Every Object from EventsCode1
DARTH: Holistic Test-time Adaptation for Multiple Object TrackingCode1
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D QueriesCode1
DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based LocalizationCode1
FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation 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