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 11511175 of 6092 papers

TitleStatusHype
Deep learning for radar data exploitation of autonomous vehicleCode1
Deep Learning for Omnidirectional Vision: A Survey and New PerspectivesCode1
Deep Learning for Vision-based Prediction: A SurveyCode1
Deep Learning for 3D Point Cloud Understanding: A SurveyCode1
Deep Learning for 3D Point Clouds: A SurveyCode1
Deep Metric Learning for Open World Semantic SegmentationCode1
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
DeepIPC: Deeply Integrated Perception and Control for an Autonomous Vehicle in Real EnvironmentsCode1
CODiT: Conformal Out-of-Distribution Detection in Time-Series DataCode1
CoDiff: Conditional Diffusion Model for Collaborative 3D Object DetectionCode1
Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous DrivingCode1
Multi-modal Knowledge Distillation-based Human Trajectory ForecastingCode1
Multimodal Motion Prediction with Stacked TransformersCode1
PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous DrivingCode1
Deep Federated Learning for Autonomous DrivingCode1
Multimodal-Enhanced Objectness Learner for Corner Case Detection in Autonomous DrivingCode1
Event-Free Moving Object Segmentation from Moving Ego VehicleCode1
Multimodal Detection of Unknown Objects on Roads for Autonomous DrivingCode1
Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion ForecastingCode1
MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed TrafficCode1
Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and SegmentationCode1
Multi-Modal 3D Object Detection by Box MatchingCode1
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