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 401450 of 6092 papers

TitleStatusHype
RoGs: Large Scale Road Surface Reconstruction with Meshgrid GaussianCode2
RoMe: Towards Large Scale Road Surface Reconstruction via Mesh RepresentationCode2
FocalFormer3D: Focusing on Hard Instance for 3D Object DetectionCode2
CLRerNet: Improving Confidence of Lane Detection with LaneIoUCode2
Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario AnalysisCode2
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion TransformerCode2
Fully Sparse 3D Occupancy PredictionCode2
FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height PluginCode2
COCO-O: A Benchmark for Object Detectors under Natural Distribution ShiftsCode2
A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic SegmentationCode2
SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point CloudCode2
SelfOcc: Self-Supervised Vision-Based 3D Occupancy PredictionCode2
Fisheye-Calib-Adapter: An Easy Tool for Fisheye Camera Model ConversionCode2
Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous DrivingCode2
FlexCloud: Direct, Modular Georeferencing and Drift-Correction of Point Cloud MapsCode2
DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic StatesCode2
Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object SegmentationCode2
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous DrivingCode2
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of VehiclesCode2
FocalFormer3D : Focusing on Hard Instance for 3D Object DetectionCode2
FUTR3D: A Unified Sensor Fusion Framework for 3D DetectionCode2
Complex-YOLO: Real-time 3D Object Detection on Point CloudsCode2
Generative Planning with 3D-vision Language Pre-training for End-to-End Autonomous DrivingCode2
Holistic Autonomous Driving Understanding by Bird's-Eye-View Injected Multi-Modal Large ModelsCode2
ADAPT: Action-aware Driving Caption TransformerCode2
MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene UnderstandingCode2
PointCore: Efficient Unsupervised Point Cloud Anomaly Detector Using Local-Global FeaturesCode2
FADet: A Multi-sensor 3D Object Detection Network based on Local Featured AttentionCode1
Deep Learning for Omnidirectional Vision: A Survey and New PerspectivesCode1
Deep Learning for 3D Point Clouds: A SurveyCode1
3D Gaussian Splatting against Moving Objects for High-Fidelity Street Scene ReconstructionCode1
Deep learning for radar data exploitation of autonomous vehicleCode1
Fast Kernel Scene FlowCode1
DeepIPC: Deeply Integrated Perception and Control for an Autonomous Vehicle in Real EnvironmentsCode1
Deep Learning for Vision-based Prediction: A SurveyCode1
Ad-datasets: a meta-collection of data sets for autonomous drivingCode1
Deep Learning for 3D Point Cloud Understanding: A SurveyCode1
FastMap: Fast Queries Initialization Based Vectorized HD Map Reconstruction FrameworkCode1
PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous DrivingCode1
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud AttacksCode1
Exploring Point-BEV Fusion for 3D Point Cloud Object Tracking with TransformerCode1
Deep Federated Learning for Autonomous DrivingCode1
Exploring Simple 3D Multi-Object Tracking for Autonomous DrivingCode1
Deep Metric Learning for Open World Semantic SegmentationCode1
DDD17: End-To-End DAVIS Driving DatasetCode1
Exploring Map-based Features for Efficient Attention-based Vehicle Motion PredictionCode1
DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within DatasetsCode1
1st Place Solution for PVUW Challenge 2023: Video Panoptic SegmentationCode1
Exploring Navigation Maps for Learning-Based Motion PredictionCode1
Extending Large Vision-Language Model for Diverse Interactive Tasks in 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